Vessel Velocity Estimation and Tracking From Doppler Echoes of T/R-R Composite Compact HFSWR

Vessel speed and heading are two important kinematic parameters describing its state of motion. However, due to low spatial resolution of a compact high-frequency surface wave radar (HFSWR), vessel speed and heading cannot always be accurately estimated. Since HFSWR can measure vessel Doppler velocity with relatively high accuracy, it is possible to estimate a vessel's vector velocity based on two Doppler velocities measured along two different directions. In this article, a newly developed T/R-R composite compact HFSWR system is introduced, and a corresponding vessel velocity estimation method which employs a target's radial velocity and elliptical velocity, respectively, measured by the monostatic (T/R) and bistatic (T-R) settings is proposed. First, monostatic and bistatic tracks are independently generated using a multitarget tracking algorithm. Then, the obtained monostatic and bistatic tracks are matched using a track-to-track association method to determine the track pair belonging to each target. Subsequently, the associated track pairs are combined to produce fused tracks for improving positioning accuracy. Finally, vessel vector velocity is estimated based on the radial and elliptical velocities as well as the fused target position. Comparisons of vector velocity estimation results from radar field data with corresponding automatic identification system data demonstrate that the average root-mean-square-errors of the estimated speed and heading are 0.48 km/h and 3.9$^{\circ }$, respectively, which meets the practical requirements of a maritime surveillance system. Moreover, the velocity estimation error is analyzed via theoretical derivation and experimental verification. The proposed method shows good potential in further improving the tracking accuracy.

[1]  Christophe Guiffaut,et al.  Method for the Sea Clutter Characterization in HF Surface Wave Radars From the Fields Diffracted by the Sea Surface , 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[2]  Scott Glenn,et al.  Performance evaluation of SeaSonde high-frequency radar for vessel detection , 2011 .

[3]  Bo Lu,et al.  A Vessel Detection Method Using Compact-Array HF Radar , 2017, IEEE Geoscience and Remote Sensing Letters.

[4]  Ashraf M. Aziz,et al.  Fuzzy track-to-track association and track fusion approach in distributed multisensor-multitarget multiple-attribute environment , 2007, Signal Process..

[5]  T. Helzel,et al.  Introduction of the compact HF radar WERA-S , 2012, 2012 IEEE/OES Baltic International Symposium (BALTIC).

[6]  Jenn-Shyong Chen,et al.  Ship Echo Identification Based on Norm-Constrained Adaptive Beamforming for an Arrayed High-Frequency Coastal Radar , 2020, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Yonggang Ji,et al.  A Vessel Azimuth and Course Joint Re-Estimation Method for Compact HFSWR , 2020, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Branislav M. Todorovic,et al.  Multi-radar multi-target tracking algorithm for maritime surveillance at OTH distances , 2016, 2016 17th International Radar Symposium (IRS).

[9]  Weifeng Sun,et al.  Target monitoring using small-aperture compact high-frequency surface wave radar , 2018, IEEE Aerospace and Electronic Systems Magazine.

[10]  Saeid Pashazadeh,et al.  An Adaptive Density-Based Fuzzy Clustering Track Association for Distributed Tracking System , 2019, IEEE Access.

[11]  Stuart Anderson Bistatic and Stereoscopic Configurations for HF Radar , 2020, Remote. Sens..

[12]  Weimin Huang,et al.  Vessel Tracking Using Bistatic Compact HFSWR , 2020, Remote. Sens..

[13]  Weimin Huang,et al.  Radio Frequency Interference Suppression for HF Surface Wave Radar Using CEMD and Temporal Windowing Methods , 2020, IEEE Geoscience and Remote Sensing Letters.

[14]  Stefano P. Coraluppi,et al.  Multiple-Hypothesis Tracking for Targets Producing Multiple Measurements , 2018, IEEE Transactions on Aerospace and Electronic Systems.

[15]  Weifeng Sun,et al.  Vessel tracking with small-aperture compact high-frequency surface wave radar , 2019, OCEANS 2019 - Marseille.

[16]  Yan Huang,et al.  Imaging of Spinning Targets via Narrow-Band T/R-R Bistatic Radars , 2013, IEEE Geoscience and Remote Sensing Letters.

[17]  Yu-Jen Chung,et al.  A Simple Ship Echo Identification Procedure With SeaSonde HF Radar , 2015, IEEE Geoscience and Remote Sensing Letters.

[18]  Paolo Braca,et al.  Maritime Surveillance Using Multiple High-Frequency Surface-Wave Radars , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Ajay Singh,et al.  Modelling and Simulation of Multi-target Multi-sensor Data Fusion for Trajectory Tracking , 2009 .

[20]  S. Mori,et al.  Performance evaluation for MAP state estimate fusion , 2004 .

[21]  Chee-Yee Chong,et al.  Track association and track fusion with nondeterministic target dynamics , 2002 .

[22]  Q. M. Jonathan Wu,et al.  Continuous Tracking of Targets for Stereoscopic HFSWR Based on IMM Filtering Combined with ELM , 2020, Remote. Sens..

[23]  Lun Li,et al.  Measurement of Sea Surface Wind Direction Using Bistatic High-Frequency Radar , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[24]  Hanseok Ko,et al.  Coastal ship monitoring based on multiple compact high frequency surface wave radars , 2017, 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

[25]  Paolo Braca,et al.  Maritime surveillance with multiple over-the-horizon HFSW radars: An overview of recent experimentation , 2015, IEEE Aerospace and Electronic Systems Magazine.

[26]  R. A. Singer,et al.  Computer control of multiple site track correlation , 1971 .

[27]  Y. Yang,et al.  Characteristic Investigation of Ionospheric Clutter of a Coastal High-Frequency Radar , 2018, 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO).

[28]  Ondřej Straka,et al.  Covariance Intersection in Track-to-Track Fusion: Comparison of Fusion Configurations , 2018, IEEE Transactions on Industrial Informatics.

[29]  Ashraf M. Aziz,et al.  A new fuzzy clustering approach for data association and track fusion in multisensor-multitarget environment , 2011, 2011 Aerospace Conference.

[30]  Ángel F. García-Fernández,et al.  A Metric on the Space of Finite Sets of Trajectories for Evaluation of Multi-Target Tracking Algorithms , 2016, IEEE Transactions on Signal Processing.

[31]  Hao Zhou,et al.  Accuracy Assessment of Surface Current Velocities Observed by OSMAR-S High-Frequency Radar System , 2018, IEEE Journal of Oceanic Engineering.

[32]  Weimin Huang,et al.  A Support Vector Regression-Based Method for Target Direction of Arrival Estimation From HF Radar Data , 2018, IEEE Geoscience and Remote Sensing Letters.

[33]  Lucy R. Wyatt,et al.  Measuring the Directional Ocean Spectrum from Simulated Bistatic HF Radar Data , 2020, Remote. Sens..

[34]  Paolo Braca,et al.  Knowledge-Based Multitarget Ship Tracking for HF Surface Wave Radar Systems , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[35]  Yaakov Bar-Shalom,et al.  Decorrelated unbiased converted measurement Kalman filter , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[36]  Keshuai Zhang,et al.  An Adaptive Track Fusion Approach with Fuzzy Computation for Multi-sensor , 2018, 2018 IEEE International Conference on Smart Internet of Things (SmartIoT).

[37]  Weimin Huang,et al.  Maneuvering target tracking from nautical radar images using particle-Kalman filters , 2013 .

[38]  Hanseok Ko,et al.  Compact HF Surface Wave Radar Data Generating Simulator for Ship Detection and Tracking , 2017, IEEE Geoscience and Remote Sensing Letters.

[39]  Chen Chen,et al.  Feature-weighted track-to-track association based on Adaptive Fuzzy C-Shell cluster , 2015, 2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP).

[40]  Quan Taifan,et al.  Target flying mode identification and altitude estimation in Bistatic T/R-R HFSWR , 2014, 17th International Conference on Information Fusion (FUSION).

[41]  Antonios Tsourdos,et al.  Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter Rate , 2018, Sensors.

[42]  Jun Wang,et al.  Fuzzy Double-Threshold Track Association Algorithm Using Adaptive Threshold in Distributed Multisensor-Multitarget Tracking Systems , 2013, 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing.

[43]  Witold Kazimierski Verification of neural approach to radar-AIS tracks association for maneuvering targets based on kinematic spatial information , 2017, 2017 18th International Radar Symposium (IRS).