Positioning Error Analysis of Ranging-Mode Using AIS Signals in China
Positioning Error Analysis of Ranging-Mode Using AIS Signals in China
Kai Zheng, Qing Hu, and Jingbo Zhang
Information Science and Technology College, Dalian Maritime University, Dalian 116026, China
Received 24 March 2016; Revised 2 August 2016; Accepted 16 August 2016
Academic Editor: Jose R. Martinez-de Dios
Copyright © 2016 Kai Zheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In order to provide resilient position, navigation, and time (PNT) information for -Navigation, the ranging-mode (R-Mode) positioning using automatic identification system (AIS) signals is encouraged. As the accuracy is the key for the positioning system, this paper investigates the position error of the R-Mode positioning based on AIS shore-based station in China. The measurement errors of Gaussian filtered minimum shift keying (GMSK) demodulation based on carrier phase locking loop are investigated in theory. The dilution of precision (DOP) for time of arrival (TOA) and time difference of arrival (TDOA) used in R-Mode positioning of AIS is discussed in two measurement mechanisms. The positioning error distributions in the North, East, and South Sea regions of China based on the existing AIS shore-based stations are evaluated. The positioning accuracy is at the meter level in the most traffic dense areas to meet the requirements for vessel navigation.
Recently, -Navigation, introduced by International Maritime Organization (IMO) and International Association of Marine Aids to Navigation and Lighthouse Authorities (IALA), has received a great deal of attention as the next-generation marine navigation framework. Resilient position, navigation, and time (PNT) are an essential requirement for successful implementation of -Navigation . Nowadays the global navigation satellite system (GNSS) is the main source for PNT. However, GNSS is vulnerable to deliberate, accidental, or natural radio interference [2, 3]. A complementary system, compatible with GNSS but independent of it, is investigated by IMO, IALA, and other research organizations . The automatic identification system (AIS) is recommended as the candidate for modification to add ranging-mode (R-Mode) functionality, as it has widespread distribution at present . According to the International Convention for Safety of Life at Sea (SOLAS) proposed by IMO, all ships over 300 GT must be equipped with at least one AIS device to avoid maritime collision . Australia , USA , and European Union  have deployed AIS along their coastlines and on most commercial vessels. China also has set up its shore-based automatic identification network system since 2003 . The established shore-based stations can be used as the reference nodes for R-Mode positioning and no new shipboard device needs to be equipped for PNT information. Therefore, it can be an optimal choice to realize resilient PNT.
However, current AIS acts as a communication system essentially. It is used to transmit and receive maritime information among AIS equipped vessels and shore-based stations nearby, such as maritime mobile service identity (MMSI), positions, velocities, and other navigational messages. PNT information in the existing AIS is normally derived from an integral or external GNSS receiver. R-Mode positioning in AIS has been investigated mainly by Europe and China. In Europe, it is a portion of Accessibility for Shipping, Efficiency Advantages and Sustainability (ACCSEAS) project. It is focused on the feasibility study of R-Mode using AIS transmissions  and combining MF DGNSS, AIS, and eLoran transmissions . Only theoretical research and simulation are carried out at present. In China, Maritime Safety Administration (MSA) and Dalian Maritime University have investigated technical difficulties of AIS Autonomous Positioning System (AAPS), which achieves R-Mode positioning using AIS signals [13–15]. On the basis of these studies in theory, the positioning testbed for the R-Mode using AIS signals has been established in Xinghai Bay of Dalian in China to verify the real-time positioning function in real sea area . Based on the above research, the positioning error of R-Mode using AIS signals in China is analyzed in this paper, including the North China Sea, the East China Sea, and the South China Sea. It should be specially explained that the positioning error analyzed in this paper is focused on the measurement error and the dilution of precision (DOP). The measurement error discussed here is assuming transmission through an additive white Gaussian noise (AWGN) channel, without considering the additional secondary factors (ASFs), the multipath, and other interference.
The rest of the paper is organized as follows. Section 2 investigates the principle of R-Mode positioning using AIS signals. In Section 3, Gaussian filtered minimum shift keying (GMSK) demodulation based on carrier phase locking loop is presented and the measurement errors are theoretically discussed. In Section 4, DOP for time of arrival (TOA) and time difference of arrival (TDOA) in R-Mode positioning of AIS are discussed in different conditions. Section 5 analyzes positioning accuracy based on the existing AIS shore-based stations in China sea area. Finally, conclusions are made in Section 6.
2. Principle of R-Mode Positioning in AIS
AIS acts as a broadcast system providing identification of targets together with the static and dynamic information. AIS enhanced with ranging-mode position, called AAPS, can provide the range information from the shore-based station to the vessel used for estimating the position of the coastal vessel. As illustrated in Figure 1, AAPS usually consists of many AIS shore-based stations and a shipborne AIS device. For all the AIS shore-based stations, the time synchronization is required. Meanwhile, shipborne AIS device need not be synchronous with shore-based stations.
Figure 1: Configuration of AAPS.
In AAPS, the precision position of shore-based stations as the reference nodes should be known by the vessel for its position estimation. The primary messages available from the shore-based station are message 4 in AIS at present, which is the Universal Time Coordinated (UTC) time and position report. Although the shore-based station normally transmits message 4 with a reporting interval of 10 s, the shipborne AIS device could store the position information of the shore-based station once message 4 has been received and use it for the subsequent processing. Shipborne AIS device can receive very high frequency (VHF) AIS signal from different shore-based stations. The range information is obtained by measuring the signal propagation delay in the R-Mode positioning based on AIS. Both time of arrival (TOA)  and time difference of arrival (TDOA)  can be utilized. The location of the vessel can be estimated using the latitude and longitude coordinates of the shore-based stations by TOA and TDOA [19, 20]. As shown in Figure 2, the latitude and longitude of the vessel are denoted by . For convenience, the changes in latitude and longitude are denoted by the horizontal and vertical increments .
Figure 2: Relationship between and .
The coordinate of the vessel positon and increments satisfies the following equations:The positioning equation is written in matrix form as follows:where and are called location matrix and observation matrix, respectively:The least square solution is usually used to estimate the corrections , which can be written asAssuming the measurement error is very small, the effects on the linearization of the positioning equation can be neglected. If the measurement error term can be retained, positioning equation (2) can be rewritten aswhere is the positioning error vector and denotes the measurement error vector. The covariance of the positioning error iswhere is the common standard deviation of the measurement error; a coefficient matrix is symmetric, whose element contains the geometric accuracy and the correlated information of all the solutions.
As the existing AIS is a communication system, there are technical difficulties for the R-Mode positioning using AIS signals. The first technical difficulty is the measurement of the range using AIS signals. Generally speaking, signals are continuous and periodic provided by the traditional positioning system for the range measurement, such as the pulse-envelope measurement for -Loran  and carrier phase measurement for GNSS . There are two dedicated VHF frequencies used for AIS, that is, channel 87B (161.975 MHz) and channel 88B (162.025 MHz). AIS signals use a time-division multiple access (TDMA) scheme to share the VHF frequency, known as the VHF Data Link (VDL). The VDL is arranged into frames, which are repeated every one minute. And one frame is divided into 2250 time slots. Each AIS station transmits a message in one of the time slots; at the same time it listens to all the time slots and reads the received message information. Therefore, AIS signals from shore-based stations do not have the continuous time slots and periodicity. Therefore, it is difficult to obtain range information by tracking the noncontinuous AIS signals. GMSK demodulation based on carrier phase locking loop given in Section 3 can be utilized to solve this problem. Secondly, the existing shore-based stations are not established for positioning specifically. Thus, the DOP of the shore-based stations is discussed in Section 4. Furthermore, the next generation of AIS, called the VHF Data Exchange System (VDES), has been developing rapidly and popularized by IMO . There are more channels and frequencies that can be used. In addition, more shore-based stations will be constructed all over the world. Thus the performance of R-Mode positioning based on the AIS could be improved, including the positioning accuracy and the update frequency.
3. Measurement Error Analysis
As AIS is a TDMA system, the signal is noncontinuous and nonperiodic. In order to obtain the range from the shore-based station to the vessel by measuring the signal transmission delay, we use GMSK demodulation based on carrier phase locking loop (PLL) to track AIS signals. The time of bit transition and the carrier phases are both estimated. The GMSK modulation and demodulation system has been built based on Simulink and FPGA to verify the function of the range measurement. Then the performance of measurement is investigated in the view of theory.
3.1. GMSK Demodulation
The noncoherent demodulation is widely used in traditional shipborne device for communication. The requirement for the decision time of each bit transition is not strict. It cannot satisfy the accuracy requirement for the positioning system, because the maximum decision time measurement error of one-bit transition may be one period theoretically. Thus, the frequency and the phase of AIS carrier signals should be both tracked for AAPS so that both the time of bit transitions and the carrier phases should be estimated in realization.
The period of the time slot is 26.67 ms. The corresponding distance is 8001 km. It far exceeds the transmission distance of AIS signals. Therefore, the transmission time from the shore-based station should be within one time slot. The number of the time slot can be unpacked according to the link layer of AIS signals . At the same time, according to the slot phase synchronization, the frame synchronization, and the training sequence, the frequency and the phase of the carrier are tracked and the exact transmission time in a time slot is measured. The method is called GMSK demodulation based on carrier phase tracking . The block diagram of GMSK demodulation based on carrier phase locking loop is shown in Figure 3.
Figure 3: Block diagram of GMSK demodulation based on carrier phase locking loop.
The intermediate frequency (IF) digital signal in the shipborne AIS device is written aswhere denotes the signal amplitude; is the carrier frequency of the input digital IF, which is varying with time; denotes the initial carrier phase. After 90° phase shifts, the input IF signal produces in-phase () and quadraphase () form. By mixing with the local carrier, the and signals in (8) are generated with both the upper and the lower sidebands:where and are the frequency and the phase of the carrier, respectively. subtracted from can remove the upper sideband and select the lower sideband; that is,where is a frequency offset, due to mismatch of the local oscillator in the demodulation process; is an unknown phase, due to the phase offset between the local oscillator at the receiver and the signal carrier. As PLL, is processed by the discriminator and the filter of the tracking loop operated, then the baseband signal can be obtained.
Each zero crossing location of the baseband signal corresponds to the location of the bit transition in AIS signals. Each zero crossing of the baseband signal can be detected in GMSK demodulation based on carrier phase tracking. Therefore, exact transition time from one bit to the next bit can be measured in GMSK demodulation. The transmission time in the time slot can be calculated.
3.2. Simulation Verification
In order to verify the above demodulation scheme and optimize the loop parameters, the GMSK modulation and demodulation verification system is built on the Simulink platform. The simulation diagram is shown in Figure 4.
Figure 4: Structure diagram of GMSK modulation and demodulation verification system.
The demodulation results are illustrated in Figure 5. The top curve represents the output from the Gauss filter before modulation. The middle curve shows the GMSK modulation signal. The bottom curve is the output after GMSK demodulation based on carrier PLL. It can be seen that the GMSK signal is effectively demodulated.
Figure 5: Demodulation result based on FPGA.
The special counter is utilized to record the bit transition time of serial data signals. It starts from zero at the beginning of a slot. The exact transition time in one time slot can be measured in GMSK demodulation based on FPGA circuit.
3.3. Performance Analysis
A Cramér-Rao Bound (CRB) on the performance of any estimator of time delay from the bit edges through an AWGN channel is developed in . When the transmitted data is assumed to be random, a lower bound to the CRB for the time delay can be simplified towhere the spectral density of AWGN is ; is the entire observation interval; is the time delay, which is the term of interest for ranging; and is the statistical expectation operator. For the GMSK, this bound can be simplified to where is the received power in mV; is the number of bits.For AIS, equals 1/9600.
For a point-to-point link, it is preferable to calculate the free-space attenuation loss as follows :where is the transmitted power in the unit of mV; is the transmission distance in the unit of km; is the frequency in the unit of MHz. Transmitted power of AIS shore-based station usually is 25 W. The nominal carrier center frequency is 162 MHz . Thus, the relationship between the received power and the transmission distance isThus, standard deviation of measurement in time can be written as follows:Measurement error is increasing with transmission distances. Meanwhile, the longer the observation measured data is, the smaller the measurement error is.
4. Dilution of Precision Analysis
The shore-based station of AAPS is considered as the reference node. Positioning error, in terms of DOP, is related to the distribution of the reference nodes. As the shore-based stations are not established for positioning specifically, DOP for TOA and TDOA used in AAPS is discussed in this section. The clock synchronization is difficult to achieve between the AIS shore-based station and the shipborne AIS device. Therefore, DOP of R-Mode positioning in AIS is discussed in this paper without time synchronization. We compare DOP of TOA and TDOA by comparing their trace of the coefficient matrix according to the positioning equation.
4.1. DOP of TDOA
According to (6), the covariance matrix for TDOA is given bywhere is the standard deviation of the measurement error. The location matrix for TDOA isMeanwhile, under the ideal condition TOA with the time synchronization, the location matrix isThuswhere is called a transformation matrix. It is defined as follows:where . is the identity matrix of order . Covariance matrix (16) can be rewritten aswhere
4.2. DOP of TOA
The covariance matrix for TOA without the time synchronization is given bywhere is the standard deviation of the measurement error. The location matrix isThusAccording to the inverse of the block matrix, we know thatThe covariance matrix of the positioning error for TOA is whereTherefore, the positioning error for TOA without the time synchronization is only determined by the matrix .
4.3. Comparison of TDOA and TOA without the Time Synchronization
Two situations are discussed in the following according to measurement parameters.
Situation 1. The variances of the measurement errors are equal to the assumption on the same measurement of TOA and TDOA:Hence,From (28) and (20), we can getthus,In the R-Mode positioning for AIS, the vessel could receive signals from three shore-based stations. In this situation,Thus, the positioning error for TOA is always greater than TDOA under the condition with the same AIS shore-based stations. The performance using TDOA method is always better than TOA.
Situation 2. The range difference used in TDOA method is obtained according to the measured range from different AIS shore-based stations. Assuming variances of the range measurement errors are all equal to , then the variances of the measurement errors of TDOA and TOA satisfyWhen the number of the shore-based stations is three, Thus, the performance of TDOA is the same as TOA in this situation.
5. Positioning Error Analysis in China Sea Area5.1. Availability of Shore-Based Stations
Chinese shore-based AIS network system, which has been built by the MSA of China with investment of 500 million yuan since 2003, is one of the biggest fully operational, real-time systems with full routing capability in the world. The system consists of one AIS national management and maintenance center, three sea area management centers of the North China Sea, the East China Sea, and the South China Sea, thirty-three area management centers, and approximately 250 shore-based stations in hot-standby configurations, as shown in Figure 6. Currently, the signal coverage rate of Chinese coastline is higher than 99.97% and the reliability is higher than 99.95% . It plays an important role in improving the safety and security of vessels and port facilities in China. Additionally, the further project of the Chinese shore-based AIS network system has still been carried out by MSA of China at present. There will be more AIS shore-based stations in China in the future.
Figure 6: Coverage of national AIS shore-based stations.
The transmission distance of AIS signals can reach about 90 km under good sea condition. The signal coverage in the North China Sea, the South China Sea, and the East China Sea is shown in Figure 7. It can be seen that there are a number of the AIS shore-based stations in traffic dense areas. Therefore, there are areas where AIS signals can be received from three different shore-based stations. However, there are areas with insufficient shore-based stations as the reference nodes for positioning. Therefore, to further carry out the R-Mode positioning system using AIS signals for -navigation in China, some of the probable solutions are presented in the following. Firstly, the most straightforward method is to consider establishing more AIS shore-based stations as positioning reference nodes. The second solution is to make use of AIS aids to navigation (AtoN). The AIS AtoN provides the position and status of buoys and lights through the same VDL with shipborne AIS device. Vessels around the AIS AtoN could receive signals transmitted by them. Thus, the AIS AtoN can be used as the reference nodes for R-Mode positioning based on AIS. In addition, the MF DGPS/DGNSS reference and monitoring stations or reference stations of Changhe II system could also be considered for increasing the number of the positioning reference nodes.
Figure 7: Signal coverage of national AIS shore-based stations.
5.2. Measurement Accuracy Evaluation
Figure 8 shows standard deviation of time estimation error of bit transition as a function of transmission distances and observation time. At the transmission distance of 90 km, the standard deviation of measurement error is 8.5 m when the number of observation slots is 5; the standard deviation is 3.8 m when the number of slots is 1. At the transmission distance of 45 km, the standard deviation of measurement error is 4.2 m when the number of observation slots is 5; the standard deviation is 1.9 m when the number of slots is 1. Therefore, the observation measured data in the shipborne AIS device should be as long as possible for improving the performance. However, as AIS signals use a TDMA scheme to share all time slots, the observation measured data could not be too long.
Figure 8: Performance of measurement accuracy.
5.3. Positioning Accuracy Analysis
According to Section 4, the performance of TDOA is better than TOA in terms of DOP. Therefore, the following discussion in this paper is focused on the TDOA technology. Figure 9 shows the positioning error distribution of AAPS in the North, East, and South Sea regions of China. The general transmission distance of 90 km is taken as an example in Figure 9. The measurement error and DOP are both considered to evaluate the positioning accuracy. As the availability of shore-based stations, which have been investigated before, position information could not be provided by AAPS in some area. However, it can be seen that the positioning accuracy is good enough to meet the requirements for vessel navigation in the regions that AIS signals from three shore-based stations cover. Particularly worth mentioning is the positioning accuracy at the meter level in most regions. With the promotion of R-Mode positioning system, there would be more positioning reference nodes. The DOP will be smaller, positioning coverage will be larger, and the positioning accuracy will be better.
Figure 9: Positioning accuracy in three main sea regions.
5.4. Experimental Results Analysis
A positioning testbed of AAPS has been set up in Xinghai Bay of Dalian, China, to verify the real-time positioning under real condition . Three shore-based stations have been established as the reference nodes. Considering that the positioning testbed should be convenient for experiment, the shore-based stations were established closely. Table 1 gives location about these reference nodes.
Table 1: Location of shore-based stations.
Figure 10 evaluates the distribution of these reference nodes in the testbed of AAPS according to the DOP. The reference nodes are denoted by the red stars. Heishijiao station is a master node; Lingjing station and Fujiazhuang station are the slave nodes. The baselines are relatively short, which are 4.511 km and 5.38 km. In the range of about 9 km from Heishijiao station, DOP is less than 5. However, the DOP distribution in the real China sea area is much better, as the baseline of the Chinese shore-based AIS network system is longer.
Figure 10: DOP for the positioning testbed.
In Figure 10, two locations in the above positioning range denoted by the purple diamonds are selected to carry out the positioning experiments, whose latitude and longitude are shown in Table 2. The below purple diamond in Figure 10 indicates Laopian Island; the above one indicates the location where ship was moored. The boat we used in the positioning experiments is shown in Figure 11(a). The shipborne AIS position device which we have developed and implemented is shown in Figure 11(b).
Table 2: Location information of experiment.
Figure 11: Device of positioning experiment.
The scenario of the position experiments is shown in Figure 12. Figure 12(a) is Laopian Island. Figure 12(b) is the environment of the position experiment when ship was moored.
Figure 12: Positioning experiment scenario.
Figures 13(a) and 13(b) show the positioning results of the Laopian Island and mooring, respectively. The positioning errors are given in Table 3 in detail. Here, the error means the root mean square (RMS) of the difference between the position results output from the shipborne AIS positioning device and the position data from the continuously operating reference station (CORS) system, the position accuracy of which is centimeter level. We can see that the measurement error is larger than the CRB derived theoretically in Section 3, because the ASFs, the multipath, and other interference cannot be ignored in the real condition. However, under the same conditions of the measurement, the position error of the Laopian Island and mooring is corresponding to their DOP. In conclusion, the experimental results are consistent with the theoretical analysis.
Table 3: Experiment results.
Figure 13: Positioning errors for the static position.
The R-Mode positioning using AIS signals is the effective solution for the resilient PNT of -Navigation. The Chinese shore-based AIS network system is one of the biggest in the world. It is more probable and feasible to carry out AAPS in China. As the accuracy is the key for the positioning system, the position error of the R-Mode positioning based on AIS shore-based stations in China is investigated in this paper. Firstly, the principle of R-Mode positioning using AIS signals is given. Then measurement errors of GMSK demodulation based on carrier phase locking loop are analyzed in theory. Moreover, DOP for TOA and TDOA used in AAPS are discussed in two conditions with different measurement mechanisms. Finally, the positioning error distributions in the North, East, and South Sea regions of China based on the existing AIS shore-based stations are evaluated. The theoretical analysis is verified by the real positioning experiments of AAPS testbed further. The positioning accuracy is at the meter level in the most traffic dense areas to meet the requirements for vessel navigation.
The authors declare that the funding mentioned in the Acknowledgments does not lead to any conflict of interests. Additionally, the authors declare that there is no conflict of interests regarding the publication of this manuscript.
This work was supported by the Chinese National Science Foundation (nos. 61231006 and 61501079), Foundation of Liaoning Educational Committee (nos. L2013197 and L2015059), Liaoning Provincial Natural Science Foundation (nos. 2014025002 and 2014025009), and the Fundamental Research Funds for the Central Universities (no. 3132016317).
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