The classical multi-sensor anti-bias association algorithms require complex calculation procedure, can not be used in real-time condition, for instance the algorithms based on image matching and reference topology feature. On the basis of tracks distribution feature on sea surface and Cell-Average Constant False Alarm Rate (CA-CFAR) detection theory, a real-time anti-bias association algorithm for Automatic Identification System (AIS) and the data track of radar is proposed, named confidential-association algorithm, to make real-time radar systematic error registration and multi-sensor information fusion come true. Monte-Carlo simulation results show that the accuracy of confidential-association algorithm maintains on a high level on the sea-surface environment, it has the superiority of simply calculation procedure and substantially reduces run-time in comparison to current anti-bias association algorithms. Radar automatically registration technique based on confidential-association algorithm reduces average error of the measured data by nearly 90%.
齐林,崔亚奇,熊伟,王聪. 基于距离检测的自动识别系统和对海雷达航迹抗差关联算法[J]. 电子与信息学报, 2015, 37(8): 1855-1861.
Qi Lin,Cui Ya-qi, Xiong Wei,Wang Cong. Anti-bias Association Algorithm for Automatic Identification System and Radar Based on Bias Detection. JEIT, 2015, 37(8): 1855-1861.
He You, Wang Guo-hong, Lu Da-jin, et al.. Multisensor Information Fusion with Applications(Second Edition)[M]. Beijing: Publishing House of Electronics Industry, 2007: 128-165.
He You, Wang Guo-hong, and Guan Xin. Information Fusion Theory with Applications[M]. Beijing: Publishing House of Electronics Industry, 2010: 178-238.
[3]
Liu Xi, Yin Hao, Tian Chang, et al.. An improved 2-D assignment algorithm for track-to-track association[C]. 25th Chinese Control and Decision Conference, Guiyang, China, 2013: 3698-3703.
[4]
Phani C and Arye N. Concurrent particle filtering and data association using game theory for tracking multiple maneuvering targets[J]. IEEE Transactions on Signal Processing, 2013, 61(20): 4934-4948.
He You, Song Qiang, and Xiong Wei. Track alignment- correlation technique based on phase correlation[J]. Acta Electronica Sinica, 2010, 38(12): 2718-2723.
He You, Song Qiang, and Xiong Wei. A track registration- correlation algorithm based on fourier transform[J]. Acta Aeronautica et Astronautica Sinica, 2010, 31(2): 356-362.
Song Qiang, Xiong Wei, and He You. A track alignment- correlation algorithm based on topological description of complex number field[J]. Journal of Astronautics, 2011, 32(3): 560-566.
[8]
Tian Wei, Wang Yue, Shan Xiu-ming, et al.. Track-to-track association for biased data based on the reference topology feature[J]. IEEE Signal Processing Letters, 2014, 21(4): 449-453.
[9]
Tian Wei, Wang Yue, Shan Xiu-ming, et al.. Analytic performance prediction of track-to-track association with biased data in multi-sensor multi-target tracking scenarios[J]. Sensors, 2013, 13(9): 12244-12265.
Tian Wei, Wang Yue, Shan Xiu-ming, et al.. Robust method for joint track association and sensor bias estimation[J]. Journal of Tsinghua University (Science and Technology), 2013, 53(7): 946-950.
Shi Yue, Wang Yue, Wang Shu-gang, et al.. Fuzzy data association based on target topology of reference[J]. Journal of National University of Defense Technology, 2006, 28(4): 105-109.
Wu Ze-min, Ren Shu-jie, and Liu Xi. Topology sequence based track correlation algorithm[J]. Acta Aeronautica et Astronautica Sinica, 2009, 30(10): 1937-1942.
Xu Zhi-jing and Wang Jie-xian. Numerical method to calculate coordinate transformation between AIS and radar object for information fusion[J]. Journal of Shanghai Maritime University, 2005, 26(4): 78-81.
[16]
Mathews J H and Fink K D著. 周璐, 陈渝, 钱芳, 等译. 数值方法(MATLAB版, 第4版)[M]. 北京: 电子工业出版社, 2010: 195-202.