Material Engineering and Mechanical Manufacturing

Refined track initiation algorithm for partly resolvable group targets based on phase correlation

  • WANG Cong ,
  • WANG Haipeng ,
  • XIONG Wei ,
  • HE You
Expand
  • 1. Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China;
    2. Key Laboratory for Spacecraft TT & C and Communication under the Ministry of Education, Chongqing 400044, China

Received date: 2016-04-07

  Revised date: 2016-05-27

  Online published: 2016-07-18

Supported by

National Natural Science Foundation of China (91538201)

Abstract

To deal with the problem of refined initiation in partly resolvable condition, a refined track initiation algorithm based on phase correlation is proposed in this paper. The radar measurements are preprocessed by using fast group segmentation based on coordinate mapping distance difference and pre-association based on group center point. To solve the problem of group topology alignment in low target detection probability condition, the phase correlation characteristics in image matching are then used in compensation and alignment of topological structure between adjacent times. Combined with the nearest neighbor method, a method by using virtual measurement and posterior decision is proposed to associate the group track refinedly, which can fill the missing tracks, add more correct ones, and at the same time suppress the false ones. The simulation results show that compared with the modified logic method and refined gray track initiation algorithm, the algorithm proposed has better performance in correct track initiation rate and suppression of false track, being robust to environment clutter and radar accuracy and more adaptable to target discovery probability.

Cite this article

WANG Cong , WANG Haipeng , XIONG Wei , HE You . Refined track initiation algorithm for partly resolvable group targets based on phase correlation[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2017 , 38(4) : 320299 -320299 . DOI: 10.7527/S1000-6893.2016.0163

References

[1] 黄天俊. 低可观测目标的检测跟踪算法[D]. 西安:西安电子科技大学, 2012:1-3. HUANG T J. The algorithm of detection and tracking for low-observable target[D]. Xi'an:Xidian University, 2012:1-3 (in Chinese).
[2] 耿文东. 编队目标跟踪综述[C]//第十届全国雷达学术年会, 北京, 2008:367-371. GENG W D. Summarizing of group-target tracking[C]//The 10th China Radar Conference, Beijing, 2008:367-371 (in Chinese).
[3] TOU J T, GONZALEZEZ R C. Pattern recognition principles[M]. London:Addison-Wesley Publishing Company, 1974:124-129.
[4] WANG H L, WANG D S, TIAN L S. A new algorithm for group tracking[C]//2011 CIE International Conference on Radar, Chengdu, 2001:1159-1163.
[5] 何友, 修建娟, 张晶炜, 等. 雷达数据处理及应用[M]. 第2版. 北京:电子工业出版社, 2009:120-122. HE Y, XIU J J, ZHANG J W, et al. Radar data processing with applications[M]. 2nd ed. Beijing:Publishing House of Electronics Industry, 2009:120-122 (in Chinese).
[6] 赵志超, 饶彬, 王雪松, 等. 基于概率网格Hough变换的多雷达航迹起始算法[J]. 航空学报, 2010, 31(11):2209-2215. ZHAO Z C, RAO B, WANG X S, et al. Multi-radar track initiation algorithm based on probabilistic Hough transform[J]. Acta Aeronautica et Astronautica Sinica, 2010, 31(11):2209-2215 (in Chinese).
[7] 金术玲, 梁彦, 王增福, 等. 两级Hough变换航迹起始算法[J]. 电子学报, 2008, 36(3):590-593. JIN S L, LIANG Y, WANG Z F, et al. A two-hierarchy hough transform base track initiation algorithm[J]. Acta Electronia Sinica, 2008, 36(3):590-593 (in Chinese).
[8] 何友, 王海鹏, 熊伟, 等. 基于相对位置矢量的灰色精细航迹起始算法[J]. 航空学报, 2012, 33(10):1850-1863. HE Y, WANG H P, XIONG W, et al. Refined gray track initiation algorithm of group targets based on relative position vectors[J]. Acta Aeronautica et Astronautica Sinica, 2012, 33(10):1850-1863 (in Chinese).
[9] 王海鹏, 熊伟, 何友, 等. 集中式多传感器群目标灰色精细航迹起始算法[J]. 系统工程与电子技术, 2012, 34(11):2249-2255. WANG H P, XIONG W, HE Y, et al. Gray refined track initiation algorithm for centralized multi-sensor group targets[J]. System Engineering and Electronics, 2012, 34(11):2249-2255 (in Chinese).
[10] GAO F, REN H, WANG J, et al. A novel refined track initiation algorithm for group targets based on group model[J]. Chinese Journal of Electronics, 2014, 23(4):851-856.
[11] PANG S K, LI J, GODSILL S J. Detection and tracking of coordinated groups[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(1):472-502.
[12] LI N, CUI G, YANG H, et al. Adaptive detection based on multiple a-priori spectral models for MIMO radar in compound-Gaussian clutter[C]//2015 IEEE International Conference on Radar, Arlington, 2015:870-875.
[13] XU T, XIN C, XCDONALD M, et al. A multiple-detection probability hypothesis density filter[J]. IEEE Transactions on Signal Processing, 2015, 63(8):2007-2019.
[14] LIU R, YI W, KONG L, et al. Particle filtering for target tracking using plot-sequences of multi-frame track before detect[C]//2015 IEEE International Conference on Radar, Arlington, 2015:495-500.
[15] BELL K L, BAKER C J, SMITH G E, et al. Fully adaptive radar for target tracking. Part Ⅱ:Target detection and track initiation[C]//2014 IEEE International Conference on Radar, Cincinnati, 2014:209-314.
[16] CHOI S, CROUSE D, WILLETT P, et al. Multistatic target tracking for passive radar in a DAB/DVB network:Initiation[J]. IEEE Transaction on Aerospace and Electronic Systems, 2015, 51(3):2460-2469.
[17] 邢凤勇, 熊伟, 王海鹏. 基于聚类和Hough变换的多编队航迹起始算法[J]. 海军航空工程学院学报, 2010, 25(6):624-629. XING F Y, XIONG W, WANG H P. A formation target track initiation algorithm based on clustering and hough transform[J]. Journal of Naval Aeronautical and Astronautical University, 2010, 25(6):624-629 (in Chinese).
[18] 宋强. 目标航迹对准关联与传感器系统误差估计技术研究[D]. 烟台:海军航空工程学院, 2010:28-32. SONG Q. Target track alignment-correlation and sensor bias estimation technique research[D]. Yantai:Naval Aeronautical and Astronautical University, 2010:28-32 (in Chinese).
[19] 耿文东. 基于群目标几何中心的群起始算法研究[J]. 系统工程与电子技术, 2008, 30(2):269-272. GENG W D. Study of group-initialization method based on group-target center of geometry[J]. Systems Engineering and Electronics, 2008, 30(2):269-272 (in Chinese).

Outlines

/