The classical Track Segment Association (TSA) algorithm suffers from low accuracy and is impractical to use in concentrated targets, branching, and cross-tracking environment. Thus, a new statistical binary track segment association algorithm is proposed. The new algorithm is more appropriate as it increases the sample size for the χ2 distribution threshold detection. Simulation results show that in air cross tracking and for ballistic targets, the global correct association rate and the average correct association rate of the proposed algorithm are remarkably improved, which proves the good performance of the proposed algorithm.
Mucci R, Arnold J, and Bar-Shalom Y. Track segment association with a distributed field of sensors[J]. Acoustical Society of America, 1985, 78(4): 1317-1324.
[2]
Yeom S W, Kirubarajan T, and Bar-Shalom Y. Track segment association, fine-step IMM and initialization with Doppler for improved track performance[J]. IEEE Transactions on Aerospace and Electronic Systems, 2004, 40(1): 293-309.
[3]
Zhang S and Bar-Shalom Y. Track segment association for GMTI tracks of Evasive Move-Stop-Move maneuvering targets[J]. IEEE Transactions on Aerospace and Electronic System, 2011, 47(3): 1899-1914.
[4]
Pannetier B and Dezert J. Track segment association with classification information[C]. 2012 Workshop on Sensor Data Fusion: Trends, Solution, Applications (SDF), Bonn, Germany, 2012: 60-65.
[5]
俞建国, 刘梅, 陈锦海. 弹道目标航迹片段关联及优化[J]. 航 空学报, 2011, 32(10): 1897-1904. Yu Jian-guo, Liu Mei, and Chen Jin-hai. Ballistic target track segments association and optimization[J]. Acta Aeronautica et Astronautica Sinica, 2011, 32(10): 1894-1904.
[6]
Zhang Wei, Liang Yan, Lan Hua, et al.. Track segments association for maneuver targets[J]. Computer & Digital Engineering, 2013, 41(3): 394-398.
[7]
杜渐, 夏学知. 一种面向信号中断的航迹关联算法[C]. 第四 届中国信息融合大会, 武汉, 2012: 518-522. Du Jian and Xia Xue-zhi. A fuzzy track association algorithm in track interrupt-oriented[C]. The 4th National Conference on Information Fusion, Wuhan, 2012: 518-522.
[8]
杜渐, 夏学知. 面向航迹中断的模糊航迹关联算法[J]. 火力指 挥与控制, 2013, 38(6): 68-71. Du Jian and Xia Xue-zhi. A fuzzy track association algorithm in track interrupt-oriented[J]. Fire Control & Command Control, 2013, 38(6): 68-71.
[9]
高岚, 江晶, 蓝江桥. 基于DSmT 的机载目标断续航迹关联[J]. 传感器与微系统, 2012, 31(4): 26-32. Gao Lan, Jiang Jing, and Lan Jiang-qiao. Association of airborne target broken tracks based on DSmT[J]. Transducer and Microsystem Technologies, 2012, 31(4): 26-32.
[10]
郭振, 兰华, 关超, 等. 一种基于证据推理的断裂航迹粘连方 法[C]. 第五届中国信息融合大会, 深圳, 2013: 53-60. Guo Zhen, Lan Hua, Guan Chao, et al.. Track segment association based on Dempster-Shafer evidence theory[C]. The 5th National Conference on Information Fusion, Shenzhen, 2013: 53-60.
[11]
何友, 王国宏, 陆大, 等. 多传感器信息融合及应用[M]. 第 2 版, 北京: 电子工业出版社, 2007: 136-141. He You, Wang Guo-hong, Lu Da-jin, et al.. Multisensor Information Fusion With Applications[M]. 2nd Edition, Beijing: Publishing House of Electronics Industry, 2007: 136-141.
[12]
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: 189-193. He You, Wang Guo-hong, and Guan Xin. Information Fusion Theory with Applications[M]. Beijing: Publishing House of Electronics Industry, 2010: 189-193.
[13]
吴翊, 李永乐, 胡庆军. 应用数理统计[M]. 长沙: 国防科技大 学出版社, 1995: 265-285. Wu Yi, Li Yong-le, and Hu Qing-jun. Applied Mathematical Statistics[M]. Changsha: Publishing House of National University of Defense Technology, 1995: 265-285.
[14]
何友, 修建娟, 关欣. 雷达数据处理及应用[M]. 第3 版, 北京: 电子工业出版社, 2013: 36-62. He You, Xiu Jian-juan, and Guan Xin. Radar Data Processing with Applications[M]. 3rd Edition, Bejing: Publishing House of Electronics Industry, 2013: 36-62.
[15]
Farina A, Ristic B, and Benvenuti D. Tracking a ballistic target: comparison of several nonlinear filters[J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(3): 854-867.
[16]
Arasaratnam I and Haykin S. Cubature Kalman filters[J]. IEEE Transactions on Automatic Control, 2009, 54(6): 1254-1269.
[17]
Arasaratnam I and Haykin S. Cubature Kalman smoothers[J]. Automatica, 2011, 47(10): 2245-2250.
2015, Vol. 4 
