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

齐林; 崔亚奇; 熊伟; 王聪

doi:10.11999/JEIT141472

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

doi: 10.11999/JEIT141472

基金项目:

山东省自然科学基金青年基金(ZR2012FQ004)和飞行器测控与通信教育部重点实验室开放基金(CTTC-FX201302)

计量
- 文章访问数: 1495
- HTML全文浏览量: 118
- PDF下载量: 424
- 被引次数: 0
出版历程
- 收稿日期: 2014-11-24
- 修回日期: 2015-04-10
- 刊出日期: 2015-08-19

Anti-bias Association Algorithm for Automatic Identification System and Radar Based on Bias Detection

摘要

摘要: 现有的多传感器航迹抗差关联算法，如基于图像配准技术、基于参照拓扑关系的关联算法，计算流程复杂，难以在工程实践中实时应用。该文结合海面舰船目标航迹分布特点，基于单元平均恒虚警检测原理，提出了适用于自动识别系统(AIS)和雷达航迹数据的可信关联算法，为对海雷达系统误差配准和海战场多传感器信息融合的快速有效实现提供保证。蒙特卡洛仿真结果表明，可信关联算法在海面目标环境下具有较高的关联准确性；算法的平均耗时与现有抗差关联算法相比显著降低；基于航迹可信关联结果完成对雷达的自动标校，将雷达量测数据的平均误差降低了近90%。
- 对海雷达 /
- 抗差关联 /
- 自动识别系统 /
- 单元平均恒虚警检测 /
- 实时性
Abstract: 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%.
- Radar for sea /
- Anti-bias association /
- Automatic Identification System (AIS) /
- Cell-Average Constant False Alarm Rate (CA-CFAR) detection /
- Real-time

HTML全文

参考文献(27)

何友, 王国宏, , 等. 多传感器信息融合及应用(第2版) [M]. 北京: 电子工业出版社, 2007: 128-165.

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.

何友, 王国宏, 关欣. 信息融合理论与应用[M]. 北京: 电子工业出版社, 2010: 178-238.

He You, Wang Guo-hong, and Guan Xin. Information Fusion Theory with Applications[M]. Beijing: Publishing House of Electronics Industry, 2010: 178-238.

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.

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.

何友, 宋强, 熊伟. 基于相位相关的目标航迹对准关联技术[J]. 电子学报, 2010, 38(12): 2718-2723.

He You, Song Qiang, and Xiong Wei. Track alignment- correlation technique based on phase correlation[J]. Acta Electronica Sinica, 2010, 38(12): 2718-2723.

何友, 宋强, 熊伟. 基于傅里叶变换的航迹对准关联算法[J]. 航空学报, 2010, 31(2): 356-362.

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.

宋强, 熊伟, 何友. 基于复数域拓扑描述的航迹对准关联算法[J]. 宇航学报, 2011, 32(3): 560-566.

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.

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.

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.

田威, 王钺, 山秀明, 等. 稳健的联合航迹关联与系统误差估计[J]. 清华大学学报(自然科学版), 2013, 53(7): 946-950.

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.

石玥, 王钺, 王树刚, 等. 基于目标参照拓扑的模糊航迹关联方法[J]. 国防科技大学学报, 2006, 28(4): 105-109.

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.

杨哲, 韩崇昭, 李晨, 等. 基于目标之间拓扑信息的数据关联方法[J]. 系统仿真学报, 2008, 20(9): 2357-2360.

Yang Zhe, Han Chong-zhao, Li Chen, et al.. Data association based on target topology[J]. Journal of System Simulation, 2008, 20(9): 2357-2360.

吴泽民, 任姝婕, 刘熹. 基于拓扑序列法的航迹关联算法[J]. 航空学报, 2009, 30(10): 1937-1942.

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.

何友, 关键, 孟祥伟, 等. 雷达目标检测与恒虚警处理(第2版)[M]. 北京: 清华大学出版社, 2011: 36-53.

He You, Guan Jian, Meng Xiang-wei, et al.. Radar Target Detection and CFAR Processing(Second Edition)[M]. Beijing: Tsinghua University Press, 2011: 36-53.

徐志京, 王解先. AIS与雷达目标信息融合中坐标位置的计算方法[J]. 上海海事大学学报, 2005, 26(4): 78-81.

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.

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.

施引文献

资源附件(0)

访问统计