非均匀杂波背景下的自适应检测器设计

doi:10.12305/j.issn.1001-506X.2024.11.03

摘要/Abstract

摘要：

为提高恒虚警检测器在不同检测背景下的鲁棒性和抗干扰能力, 提出一种综合型的自适应检测器, 其具备多策略选择能力和检测参数动态调节能力。所提检测器引入贝叶斯信息准则, 通过计算参考单元的信息估计序列, 对当前检测背景类型进行识别。进一步, 在非均匀检测背景下, 该检测器能够对干扰目标个数或杂波边缘位置进行估计。最终根据识别和估计结果选择对应的检测策略和检测参数。利用蒙特卡罗仿真, 对所提检测器性能进行分析, 并与经典检测器进行比较。仿真结果表明, 该检测器具备检测背景识别能力和背景参数估计能力。同时, 该检测器在检测背景参数先验知识不足的情况下, 具有较好的抗干扰能力。

关键词: 恒虚警率, 自适应检测, 信息论准则, 多目标, 杂波边缘

Abstract:

To enhance the constant false alarm detector's robustness and anti-interference performance in a variety of detection environments, an integrated adaptive detector with multi-strategy selection capability and dynamic adjustment of detection parameters is proposed. This detector introduces the Bayesian information criteria and computes the information estimation sequence of the reference units. Then the present detection background type is identified. Additionally, this detector can estimate the quantity of interfering targets or the location of clutter edges in the inhomogeneous background. Finally, the detection strategy and the detection parameters are chosen based on the recognition and estimation results. The performance of the proposed detector that and it is compared with that of traditional detectors using Monte Carlo simulation. Results of the simulation show that the proposed detector has the ability to recognize the type of background and estimate background parameters. Simultaneously, the detector also has strong anti-interference capabilities without enough prior knowledge of background parameters.

Key words: constant false alarm rate (CFAR), adaptive detection, information criteria, multi-target, clutter edge

中图分类号:

TN957.51

朱东升, 宿晓静, 马治勋, 师英杰. 非均匀杂波背景下的自适应检测器设计[J]. 系统工程与电子技术, 2024, 46(11): 3613-3620.

Dongsheng ZHU, Xiaojing SU, Zhixun MA, Yingjie SHI. Design of adaptive detector for inhomogeneous clutter background[J]. Systems Engineering and Electronics, 2024, 46(11): 3613-3620.

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相关性	递增	背景	背景功率方法
>80%	是	均匀背景	$\sum\limits_{i=1}^N x_i $
>80%	否	杂波边缘	$\max \left(\sum\limits_{i=1}^m x_i, \sum\limits_{i=m+1}^N x_i\right) $
≤80%	-	目标干扰	$\sum\limits_{i=N-k}^N \lambda_i $

检测器	信噪比/dB
检测器	5	15	25
CA	0.004 6	0.007 4	0.007 5
OS	0.008 1	0.009 2	0.009 3
VI	1.83e-4	3.47e-4	3.64e-4
ACCA	0.007 9	0.064 4	0.065 9
OSGO	1.0e-4	1.04e-4	1.07e-4
TB	0.016 0	0.060 9	0.060 0
BIC	0.011 4	0.032 5	9.2e-5

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