基于峰值自寻的多目标检测前跟踪算法

doi:10.12305/j.issn.1001-506X.2023.10.11

系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (10): 3083-3090.doi: 10.12305/j.issn.1001-506X.2023.10.11

• 传感器与信号处理 • 上一篇

基于峰值自寻的多目标检测前跟踪算法

薄钧天¹^,*, 于洪波¹, 张翔宇²^,³, 涂国勇⁴, 禄晓飞⁴

1. 海军航空大学航空作战勤务学院, 山东烟台 264001
2. 海军航空大学青岛校区航空电子工程与指挥系, 山东青岛 266041
3. 中北大学信息与通信工程学院, 山西太原 030023
4. 中国酒泉卫星发射中心, 甘肃兰州 732750

收稿日期:2021-07-21 出版日期:2023-09-25 发布日期:2023-10-11
通讯作者: 薄钧天
作者简介:薄钧天(1996—), 男, 硕士研究生, 主要研究方向为微弱目标检测, 雷达数据处理
于洪波(1983—), 男, 讲师, 博士, 主要研究方向为信息融合技术、信号与信息处理
张翔宇(1986—), 男, 讲师, 博士, 主要研究方向为信息融合技术、雷达目标跟踪
涂国勇(1970—), 男, 高级工程师, 博士, 主要研究方向为导弹武器试验鉴定、信号处理研究
禄晓飞(1981—), 男, 高级工程师, 博士, 主要研究方向为导弹武器试验鉴定、信号处理研究
基金资助:
国家自然科学基金(61731023);国家自然科学基金(61701519);国家自然科学基金(61671462);山东省自然科学基金(ZR2020MF015)

Multi-target track before detect algorithm based on peak self-seeking

Juntian BO¹^,*, Hongbo YU¹, Xiangyu ZHANG²^,³, Guoyong TU⁴, Xiaofei LU⁴

1. Aviation Combat Service College, Naval Aviation University, Yantai 264001, China
2. Departmemt of Avionics Engineering and Commad in Qingdao Campus, Naval Aviation University, Qingdao 266041, China
3. College of Information and Communication Engineering, North University of China, Taiyuan 030023, China
4. Jiuquan Satellite Launching Center, Lanzhou 732750, China

Received:2021-07-21 Online:2023-09-25 Published:2023-10-11
Contact: Juntian BO

摘要/Abstract

摘要：

针对雷达多目标检测问题中, 并存目标回波能量差异较大导致强目标掩盖弱目标的现象, 提出一种基于平行线坐标变换的峰值自寻检测前跟踪算法。通过对比积累后每个量测点所在参数单元内各时刻量测点能量最大值之和, 找到能量积累值可达最大的单元, 据此形成新的二值积累结果, 设置门限进行峰值提取、航迹回溯和航迹修正。仿真结果显示, 改进算法对多个目标具有较高的全局检测概率, 能够同时检测出不同回波能量的多个目标。

关键词: 多目标, 检测前跟踪, 平行线坐标变换, 峰值自寻, 航迹起始

Abstract:

In radar detection of multiple targets, the large difference in echo energy of coexisting targets leads to the phenomenon that strong targets cover weak targets. To tackle this problem, a peak self-seeking track before detect (TBD) algorithm based on parallel line coordinate transformation is proposed. By comparing the sum of the maximum energy of measurement point in the parameter unit where each measurement point is located after accumulation, the unit with the maximum energy accumulation value is found, by which a new binary accumulation result is formed. Then peak value extraction, track back-tracking, and track correction are performed with the threshold. The simulation results show that the improved algorithm has a high global detection probability for multiple targets, and can initiate multiple targets with different echo energies.

Key words: multi-target, track before detect (TBD), parallel line coordinate transformation, peak self-seeking, track start

中图分类号:

TN957

薄钧天, 于洪波, 张翔宇, 涂国勇, 禄晓飞. 基于峰值自寻的多目标检测前跟踪算法[J]. 系统工程与电子技术, 2023, 45(10): 3083-3090.

Juntian BO, Hongbo YU, Xiangyu ZHANG, Guoyong TU, Xiaofei LU. Multi-target track before detect algorithm based on peak self-seeking[J]. Systems Engineering and Electronics, 2023, 45(10): 3083-3090.

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参数单元(α₁, β₁)				参数单元(α₂, β₂)
序号	量测点	回波能量	时刻	序号	量测点	回波能量	时刻
1	Z^a1	10	1	1	Z^b1	8	1
2	Z^a2	12	2	2	Z^b2	7	1
3	Z^a3	8	2	3	Z^b3	9	2
4	Zⁱ	9	3	4	Zⁱ	9	3
5	Z^a5	10	3	5	Z^b5	10	4
6	Z^a6	11	4	6	Z^b6	9	4
7	Z^a7	10	5	7	Z^b7	13	4
8	Z^a8	13	6	8	Z^b8	10	5
9	Z^a9	12	7	9	Z^b9	7	6
10	Z^a10	9	7	10	Z^b10	8	7

序号	属性	初始位置/km	初始速度/(m/s)	初始加速度/(m/s²)	RCS/m²	目标SCR/dB
目标1	单目标	(25, 34)	(200, -10)	(0, 0)	0.2	9.23
目标2	单目标	(23, 28)	(200, －300)	(2, 1.5)	0.2	12.15
目标3	单目标	(35, 27)	(－20, 200)	(－1, 3)	0.2	8.43
目标4	编队目标	(27, 28)	-	-	0.2	10.43
目标5	编队目标	(27, 28.5)	(200, 180)	(0, 0)	0.15	9.02
目标6	编队目标	(27, 29)	-	-	0.1	7.11

算法	杂波密度(个/帧)
算法	0	10	20	30	40	50	60	70	80	90	100
PSSPT-TBD算法	5.036 7	5.356 0	5.633 3	5.930 0	6.231 3	6.549 9	6.840 7	7.225 7	7.346 3	7.681 6	8.557 3
文献[10-12]算法	1.542 2	1.940 4	2.328 6	2.774 6	3.080 9	3.422 1	3.859 2	4.184 5	4.882 8	5.394 0	5.542 4
文献[13]算法	4.617 9	5.068 6	5.354 4	5.926 9	6.260 9	6.499 5	6.926 9	7.195 7	7.558 3	7.933 9	8.436 2

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基于峰值自寻的多目标检测前跟踪算法

Multi-target track before detect algorithm based on peak self-seeking

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