随机有限集推理动目标轨迹的相干累积检测法

doi:10.12305/j.issn.1001-506X.2023.12.08

Abstract

Abstract:

Long-time coherent integration technique is one of the most important methods for the improvement of radar detection ability of maneuvering targets, whereas the coherent integration performance may be greatly decreased by the range migration (RM) and/or Doppler frequency migration (DFM). A moving target detector with random finite set inferred motion trajectories is proposed to solve the problem above. Firstly, with the frequency axis reversal transform, the signal describing the motion features of the maneuvering targets is obtained. Secondly, when the time-frequency transformation results of the signal are transferred to the observation random finite sets and the target trajectories are described by the state-space model, the motion trajectories of targets can be inferred under the Bayesian filter framework. Finally, based on the inferred target trajectories, the two-dimensional matched filters can be designed to compensate the unknown RM and/or DFM. Theoretical analysis and numerical simulation experiments verify that the proposed method can be applied to maneuvering targets with complex or even unknown motion forms effectively.

Key words: pulse-Doppler radar, matched filter, random finite set, range migration (RM), Doppler frequency migration (DFM)

CLC Number:

TN957

Wenbin YANG, Dan LI, Jianqiu ZHANG. Coherent integration with random finite set inferred trajectories for detecting maneuvering targets[J]. Systems Engineering and Electronics, 2023, 45(12): 3781-3791.

Figures/Tables 9

Fig.1

Fig.2

Table 1

Table 2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

References 25

1	CHEN X L , GUAN J , LIU N B , et al. Maneuvering target detection via radon-fractional Fourier transform-based long-time coherent integration[J]. IEEE Trans.on Signal Processing, 2014, 62 (4): 939- 953. doi: 10.1109/TSP.2013.2297682
2	PERRY R P, DIPIETRO R C, FANTE R L. Coherent integration with range migration using Keystone formatting[C]//Proc. of the IEEE Radar Conference, 2007: 863-868.
3	WANG C L , ZHENG J B , JIU B , et al. Model-and-data-driven method for radar highly maneuvering target detection[J]. IEEE Trans.on Aerospace and Electronic Systems, 2021, 57 (4): 2201- 2217. doi: 10.1109/TAES.2021.3054073
4	LI X L , CUI G L , KONG L J , et al. Fast non-searching method for maneuvering target detection and motion parameters estimation[J]. IEEE Trans.on Signal Processing, 2016, 64 (9): 2232- 2244. doi: 10.1109/TSP.2016.2515066
5	DING Z G , YOU P J , QIAN L C , et al. A subspace hybrid integration method for high-speed and maneuvering target detection[J]. IEEE Trans.on Aerospace and Electronic Systems, 2019, 56 (1): 630- 644.
6	XU J , YU J , PENG Y N , et al. Radon-Fourier transform for radar target detection, Ⅰ: generalized Doppler filter bank[J]. IEEE Trans.on Aerospace and Electronic Systems, 2011, 47 (2): 1186- 1202. doi: 10.1109/TAES.2011.5751251
7	XU J , XIA X G , PENG S B , et al. Radar maneuvering target motion estimation based on generalized Radon-Fourier transform[J]. IEEE Trans.on Signal Processing, 2012, 60 (12): 6190- 6201. doi: 10.1109/TSP.2012.2217137
8	YU W C , SU W M , GU H . Ground moving target motion parameter estimation using Radon modified Lv's distribution[J]. Digital Signal Processing, 2017, 69, 212- 223. doi: 10.1016/j.dsp.2017.07.005
9	WANG Y , HUANG X , CAO R . Novel approach for ISAR cross-range scaling based on the multidelay discrete polynomial-phase transform combined with keystone transform[J]. IEEE Trans.on Geoscience and Remote Sensing, 2019, 58 (2): 1221- 1231.
10	LI X L , SUN Z , YI W , et al. Computationally efficient coherent detection and parameter estimation algorithm for maneuvering target[J]. Signal Processing, 2019, 155, 130- 142. doi: 10.1016/j.sigpro.2018.09.030
11	LI X L , SUN Z , YEO T S , et al. STGRFT for detection of maneuvering weak target with multiple motion models[J]. IEEE Trans.on Signal Processing, 2019, 67 (7): 1902- 1917. doi: 10.1109/TSP.2019.2899318
12	SUN Z , LI X L , CUI G L , et al. A fast approach for detection and parameter estimation of maneuvering target with complex motions in coherent radar system[J]. IEEE Trans.on Vehicular Technology, 2021, 70 (10): 10278- 10292. doi: 10.1109/TVT.2021.3104659
13	WANG L H , WANG J , ZHANG X D . Discrete radon-Fourier transform and its approximation algorithm in short range ubiquitous radar[J]. IEEE Sensors Journal, 2021, 21 (21): 24409- 24421. doi: 10.1109/JSEN.2021.3113091
14	贺雄鹏, 廖桂生, 许京伟, 等. 基于频率轴反转的机动目标距离徒动补偿方法[J]. 电子学报, 2018, 46 (6): 1496- 1502.
	HE X P , LIAO G S , XU J W , et al. Range migration compensation method for maneuvering target based on frequency axis reversal[J]. Acta Electronica Sinica, 2018, 46 (6): 1496- 1502.
15	STANKOVIĆ L J , STANKOVIĆ S , DAKOVIĆ M . From the STFT to the Wigner distribution[J]. IEEE Signal Processing Magazine, 2014, 31 (3): 163- 174. doi: 10.1109/MSP.2014.2301791
16	XU K L , LAUGIER P , MINONZIO J G . Dispersive Radon transform[J]. The Journal of the Acoustical Society of America, 2018, 143 (5): 2729- 2743. doi: 10.1121/1.5036726
17	CHEN Y P , HE Y M , LI S , et al. Seismic spectrum decomposition based on sparse time-frequency analysis[J]. Journal of Applied Geophysics, 2020, 177, 104031. doi: 10.1016/j.jappgeo.2020.104031
18	王悦斌, 蒋景飞, 张建秋. 动态出现和/或消失时频信号的模型和分析[J]. 电子学报, 2019, 47 (2): 495- 501.
	WANG Y B , JIANG J F , ZHANG J Q . A time-frequency model and analytical method for multiple modulated momponents with dynamic births and deaths[J]. Acta Electronica Sinica, 2019, 47 (2): 495- 501.
19	高羽, 张建秋, 尹建君. 机动目标的多项式预测模型及其跟踪方法[J]. 航空学报, 2009, 30 (8): 1479- 1489.
	GAO Y , ZHANG J Q , YIN J J . Polynomial prediction model and tracking algorithm of maneuver target[J]. Acta Aeronauticaeta Astronautica Sinica, 2009, 30 (8): 1479- 1489.
20	HEINONEN P , NEUVO Y . FIR-median hybrid filters with predictive FIR substructures[J]. IEEE Trans.on Acoustics Speech & Signal Processing, 2002, 36 (6): 892- 899.
21	TANG X , LI M Y , THARMARASA R , et al. Seamless tracking of apparent point and extended targets using Gaussian process PMHT[J]. IEEE Trans.on Signal Processing, 2019, 67 (18): 4825- 4838. doi: 10.1109/TSP.2019.2932873
22	VO B N , MA W K . The Gaussian mixture probability hypothesis density filter[J]. IEEE Trans.on Signal Processing, 2006, 54 (11): 4091- 4104. doi: 10.1109/TSP.2006.881190
23	SÄRKKÄ S . Bayesian filtering and smoothing[M]. London: Cambridge University Press, 2013.
24	张召友, 郝燕玲, 吴旭. 3种确定性采样非线性滤波方法的复杂度分析[J]. 哈尔滨工业大学学报, 2013, 45 (12): 111- 115.
	ZHANG Z Y , HAO Y L , WU X . Complexity analysis of three deterministic sampling nonlinear filtering algorithms[J]. Journal of Harbin Institute of Technology, 2013, 45 (12): 111- 115.
25	YU X H , CHEN X L , HUANG Y , et al. Radar moving target detection in clutter background via adaptive dual-threshold sparse Fourier transform[J]. IEEE Access, 2019, 7, 58200- 58211. doi: 10.1109/ACCESS.2019.2914232

方法	计算复杂度
MTD	$O\left(M N \log _2 M\right)$
RFT	$O\left((2 P+1) N_v M N\right) $
R-MHLV	$O\left((2 P+1) N_v N_v^{(1)} M N+K M^2 \log _2 M\right)$
GRFT	$O\left((2 P+1) N_v N_v^{(1)} N_v^{(2)} M N\right)$
本文方法	$\begin{gathered}\left((2 P+1) K M N \log _2 M+2 M N \log _2 N+\right. \\\left.M^2 \log _2 M+M K L^3\right) \end{gathered}$
本文方法+Radon	$\begin{gathered}O\left((2 P+1) K M N \log _2 M+2 M N \log _2 N+\right. \\\left.M^2 \log _2 M+M K L^3+(2 P+1) N_v M N\right)\end{gathered}$

参数	数值
载频/GHz	0.6
脉冲带宽/MHz	10
采样频率/MHz	25
脉冲重复频率/Hz	500
脉冲持续时间/μs	10
脉冲数	512

[1]	Lei AN, Zhaorui LI, Bing JI. Non-myopic scheduling method for mobile active/passive sensor in clutter environment [J]. Systems Engineering and Electronics, 2023, 45(1): 165-174.
[2]	Huaisheng XIN, Chen CAO. Interacting multiple model based grouping δ-generalized labeledmulti-Bernoulli algorithm [J]. Systems Engineering and Electronics, 2022, 44(4): 1128-1138.
[3]	Xiping SUN, Jingyue LU, Lei ZHANG, Weijun ZHONG. Two-dimensional ambiguity resolution method of PD radar based on discrete frequency coding [J]. Systems Engineering and Electronics, 2021, 43(7): 1737-1747.
[4]	Yang ZHANG, Yinsheng WEI, Lei YU. Joint suppression method of mainlobe multiple false targets jamming transceriver [J]. Systems Engineering and Electronics, 2021, 43(6): 1486-1496.
[5]	Tianqi ZHANG, Jiangen ZHAO, Tian ZHANG, Congcong FAN. Acquisition algorithm of narrowband interference CBOC signal based on DPSCT and spectrum correction [J]. Systems Engineering and Electronics, 2020, 42(7): 1614-1622.
[6]	Peng WANG, Mei YANG, Jiancheng ZHU, Rusheng JU, Ge LI. Dynamic data driven modeling and simulation method for digital twin [J]. Systems Engineering and Electronics, 2020, 42(12): 2779-2786.
[7]	WANG Huake, LIAO Guisheng, XU Jingwei, ZHU Shengqi. Beam space MUSIC spectral estimation method based on the space time coding array [J]. Systems Engineering and Electronics, 2019, 41(7): 1433-1440.
[8]	XU Jingwei, LAN Lan, ZHU Shengqi, LIAO Guisheng, ZHANG Yuhong. Design of matched filter for coherent FDA radar [J]. Systems Engineering and Electronics, 2018, 40(8): 1720-1728.
[9]	LAN Lan, LIAO Guisheng, XU Jingwei, ZHANG Yuhong. Main-beam range deceptive jamming suppression approach with FDA-MIMO radar [J]. Systems Engineering and Electronics, 2018, 40(5): 997-1003.
[10]	CAO Zhuo, FENG Xinxi, PU Lei, WANG Xue, ZHANG Linlin. Multiple extended target tracking algorithm based on labeled random finite set filter [J]. Systems Engineering and Electronics, 2018, 40(3): 526-532.
[11]	PENG Huafu, HUANG Gaoming, TIAN Wei, QIU Hao. Labeled multi-Bernoulli filter based on amplitude information [J]. Systems Engineering and Electronics, 2018, 40(12): 2636-2641.
[12]	ZHANG Xiang, LI Ge, WANG Peng. Research on target detection in anti-submarine warfare simulation system based on DDDAS [J]. Systems Engineering and Electronics, 2018, 40(11): 2591-.
[13]	CHEN Gang, WANG Jun, WANG Jue, GUO Shuai, SONG Haiting, XING Yushuai. Reference signal purifying method in passive bistatic radar [J]. Systems Engineering and Electronics, 2018, 40(1): 45-49.
[14]	YUAN Changshun, WANG Jun, XIANG Hong, SUN Jinping. Adaptive δ-GLMB filtering algorithm based on VB approximation [J]. Systems Engineering and Electronics, 2017, 39(2): 237-243.
[15]	ZHU Yun, WANG Jun, XING Yushuai, L Xiaoyong. Adaptive receiver selection for passive radar network [J]. Systems Engineering and Electronics, 2017, 39(11): 2441-2447.

Coherent integration with random finite set inferred trajectories for detecting maneuvering targets

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 25

Related Articles 15

Recommended Articles

Metrics

Comments