Electronics and Electrical Engineering and Control

Track before detect algorithm based on parallel-line-coordinate transformation

  • BO Juntian ,
  • WANG Guohong ,
  • YU Hongbo ,
  • PENG Zhigang
Expand
  • 1. Institute of Information Fusion, Naval Aeronautical University, Yantai 264001, China;
    2. Qingdao Branch, Naval Aeronautical University, Qingdao 266041, China

Received date: 2021-04-12

  Revised date: 2022-08-25

  Online published: 2022-09-05

Supported by

Notional Natural Science Foundation of China (61731023,61701519,61671462);Shandong Province Natural Science Foundation (ZR2020MF015)

Abstract

To optimize the real-time performance of target detection, a track-before-detect algorithm is proposed based on parallel-line-coordinate transformation. First, the measurement point coordinates are mapped to the radial distance-time coordinate and normalized and a parallel line with the y axis as the symmetrical axis is established, and then point-to-line conversion is realized according to transformation rules. After the plane is gridded, the number of votes and energy are accumulated, and then peak extraction and track correction are performed. Finally, the track of the target is output. The simulation results show that the detection probability of the Parallel-line-coordinate Transformation based Track-Before-Detect (PT-TBD) algorithm is better than that of the modified Hough Transformation based Track-Before-Detect (HT-TBD) algorithm, the false track rate of the two is similar, and the calculation speed of the PT-TBD is faster than that of the HT-TBD algorithm.

Cite this article

BO Juntian , WANG Guohong , YU Hongbo , PENG Zhigang . Track before detect algorithm based on parallel-line-coordinate transformation[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022 , 43(8) : 325644 -325644 . DOI: 10.7527/S1000-6893.2021.25644

References

[1] 曹欣宇. 飞机的隐身与探测技术研究[J]. 科学技术创新, 2018(30): 25-26. CAO X Y. Research on stealth and detection technology of aircraft [J]. Scientific and Technological Innovation, 2018(30): 25-26 (in Chinese).
[2] 赵勇胜, 胡德秀, 刘智鑫, 等. 基于相邻互相关函数-参数化中心频率-调频率分布-Keystone变换的无源雷达机动目标相参积累方法[J]. 电子与信息学报, 2019, 41(10): 2358-2365. ZHAO Y S, HU D X, LIU Z X, et al. Coherent integration algorithm based on adjacent cross correlation function-parameterized centroid frequency-chirp rate distribution-Keystone transform for maneuvering target in passive radar[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2358-2365 (in Chinese).
[3] 辛婷婷, 王国宏, 李林, 等. 基于速度补偿的SKT-BFT相参积累算法[J]. 电光与控制, 2020, 27(7): 1-6. XIN T T, WANG G H, LI L, et al. A coherent integration algorithm of SKT-BFT based on velocity compensation[J]. Electronics Optics & Control, 2020, 27(7): 1-6 (in Chinese).
[4] 陈华杰, 白浩然. 基于子空间投影的复杂水下环境运动小目标检测前跟踪方法[J]. 电子与信息学报, 2021, 43(3): 826-833. CHEN H J, BAI H R. Subspace projection based track-before-detect scheme for small moving target in complex underwater environment[J]. Journal of Electronics & Information Technology, 2021, 43(3): 826-833 (in Chinese).
[5] 柳超, 孙进平, 袁常顺, 等. Geodesic流多伯努利检测前跟踪方法[J]. 电子学报, 2020, 48(7): 1375-1379. LIU C, SUN J P, YUAN C S, et al. Multi-bernoulli track-before-detect method with Geodesic flow[J]. Acta Electronica Sinica, 2020, 48(7): 1375-1379 (in Chinese).
[6] WANG L L, ZHOU G J, LI P Y. A complex pseudo-spectrum based velocity filtering method for track-before-detect[J]. Signal Processing, 2020, 174: 107651.
[7] YAN B, XU N, ZHAO W B, et al. A three-dimensional Hough transform-based track-before-detect technique for detecting extended targets in strong clutter backgrounds[J]. Sensors (Basel, Switzerland), 2019, 19(4): 881.
[8] 龚亚信. 基于粒子滤波的弱目标检测前跟踪算法研究[D]. 长沙: 国防科学技术大学, 2009. GONG Y X. Research on particle filter based track-before-detect algorithms for weak targets[D]. Changsha: National University of Defense Technology, 2009 (in Chinese).
[9] 李晓聪, 涂刚毅, 裴江, 等. 基于改进Hough变换的检测前跟踪算法[J]. 现代防御技术, 2016, 44(5): 137-142. LI X C, TU G Y, PEI J, et al. TBD algorithm based on improved Hough transform[J]. Modern Defence Technology, 2016, 44(5): 137-142 (in Chinese).
[10] 朱鸿宇, 杨帆, 高晓倩, 等. 基于级联霍夫变换的车道线快速检测算法[J]. 计算机技术与发展, 2021, 31(1): 88-93. ZHU H Y, YANG F, GAO X Q, et al. A fast lane detection algorithm based on cascade Hough transform[J]. Computer Technology and Development, 2021, 31(1): 88-93 (in Chinese).
[11] 何友, 修建娟, 张晶炜. 雷达数据处理及应用[M]. 2版. 北京: 电子工业出版社, 2009. HE Y, XIU J J, ZHANG J W. Radar data processing with applications[M]. 2nd ed.Beijing: Publishing House of Electronics Industry, 2009 (in Chinese).
[12] 丁鹭飞, 耿富录, 陈建春. 雷达原理[M]. 5版. 北京: 电子工业出版社, 2014. DING L F, GENG F L, CHEN J C. Radar principles[M]. 5th ed. Beijing: Publishing House of Electronics Industry, 2014 (in Chinese).
[13] 孔敏, 王国宏, 陈娉娉, 等. 基于规格化Hough变换的天波超视距雷达检测前跟踪算法[J]. 电讯技术, 2009, 49(12): 51-56. KONG M, WANG G H, CHEN P P, et al. Track-before-detect algorithm for over-the-horizon radar based on normalized Hough transform[J]. Telecommunication Engineering, 2009, 49(12): 51-56 (in Chinese).
[14] DUBSKÁ M, HEROUT A. Real projective plane mapping for detection of orthogonal vanishing points[C]//Proceedings of the British Machine Vision Conference 2013, 2013.
[15] CARLSON B D, EVANS E D, WILSON S L. Search radar detection and track with the Hough transform. I. system concept[J]. IEEE Transactions on Aerospace and Electronic Systems, 1994, 30(1): 102-108.
[16] CARLSON B D, EVANS E D, WILSON S L. Search radar detection and track with the Hough transform. II. detection statistics[J]. IEEE Transactions on Aerospace and Electronic Systems, 1994, 30(1): 109-115.
[17] CARLSON B D, EVANS E D, WILSON S L. Search radar detection and track with the Hough transform. III. Detection performance with binary integration[J]. IEEE Transactions on Aerospace and Electronic Systems, 1994, 30(1): 116-125.
[18] 李林, 王国宏, 于洪波, 等. 一种临近空间高超声速目标检测前跟踪算法[J]. 宇航学报, 2017, 38(4): 420-427. LI L, WANG G H, YU H B, et al. A TBD algorithm for near space hypersonic target[J]. Journal of Astronautics, 2017, 38(4): 420-427 (in Chinese).
[19] 薄钧天,王国宏,于洪波,等.临近空间伴有尾流高超声速目标检测定位算法[J]. 航空学报, 2022, 43(5):325255. BO J T, WANG G H, YU H B, et al. Algorithm for detecting and positioning hypersonic targets in near space with wakes[J]. Acta Aeronautica et Astronautica Sinica, 2022, 43(5):325255 (in Chinese).
[20] 王国宏, 李林, 张翔宇, 等. 临近空间高超声速目标RHT-TBD算法[J]. 电光与控制, 2016, 23(9): 1-6. WANG G H, LI L, ZHANG X Y, et al. A RHT-TBD algorithm for near space hypersonic target[J]. Electronics Optics & Control, 2016, 23(9): 1-6 (in Chinese).
Outlines

/