联合最小方差与最大似然谱估计的前视成像方法

doi:10.12305/j.issn.1001-506X.2023.10.14

摘要/Abstract

摘要：

前视成像技术可用于高速运动平台相控阵雷达对正前方目标的检测和跟踪。为了解决波束内的目标分辨问题, 提出一种联合最小方差与最大似然谱估计的前视成像方法。首先, 进行波束扫描, 采用最小方差谱估计获得初始的距离—方位二维图像; 然后, 对幅度峰值过门限的区域进行搜索, 完成二次估计。仿真结果表明, 所提方法可在相关信号和低信噪比等条件下有效改善目标分辨能力。

关键词: 前视成像, 谱估计, 分辨, 最大似然

Abstract:

Forward-looking imaging technique can be used on phased array radar to detect and track the targets in front of the high speed motion platform. To solve the problem of discriminating the targets in the beamwidth, a forward-looking imaging method by integrating minimum variance and maximum likelihood spectrum estimation is proposed. Firstly, the approach of scanning the beam is used. The initial two-dimensional range-azimuth image is created with minimum variance spectrum estimation. Secondly, the regions in which the amplitude peaks exceed the threshold are searched to implement the second estimation. Simulation results have demonstrated the effectiveness of the approach to improve the targets'resolution capability in the applications involving correlated signals and low signal-to-noise ratios.

Key words: forward-looking imaging, spectrum estimation, discrimination, maximum likelihood

中图分类号:

TN957.52

祝昇翔, 何岷, 贺志毅, 王嘉欣. 联合最小方差与最大似然谱估计的前视成像方法[J]. 系统工程与电子技术, 2023, 45(10): 3108-3115.

Shengxiang ZHU, Min HE, Zhiyi HE, Jiaxin WANG. Forward-looking imaging method by integrating minimum variance and maximum likelihood spectrum estimation[J]. Systems Engineering and Electronics, 2023, 45(10): 3108-3115.

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参数	取值
检测概率	0.9
虚警概率	1e-6
工作频率/GHz	10
采样率/MHz	30
脉冲重复频率/kHz	12.5
距离分辨率/m	10
扫描角度/(°)	-7~7
扫描步长/(°)	0.1

算法	单次搜索乘法	单次搜索加法	搜索次数	其他运算
ML2	N²	N²－N	(M²－M)/2	无
ML3	N²	N²－N	(M³－3M²+2M)/6	无
MUSIC2	2N²－3N－2	3N²－11N+10	M	特征值分解O(N³)
MUSIC3	2N²－5N－3	3N²－14N+15	M	特征值分解O(N³)

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