FDA-MIMO雷达噪声卷积式干扰抑制方法
Suppression of Noise Convolution Jamming with FDA-MIMO Radar
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摘要: 基于数字射频存储器(digital radio frequency memory,DRFM)产生的噪声卷积灵巧干扰兼具压制式和欺骗式干扰的效果,严重降低了雷达系统的探测性能。为解决此问题,本文提出了一种采用频率分集阵(frequency diversity array,FDA)-多输入多输出(multiple-input-multiple-output,MIMO)雷达的噪声卷积灵巧干扰对抗方法。经由雷达发射信号和噪声信号卷积调制所得的干扰信号在距离-多普勒维与目标回波呈现不同的分布特性。据此,首先利用干扰信号在多普勒域的白噪声特性获取多普勒清晰区的干扰样本,然后在此基础上逐距离门挑选样本以获得干扰协方差矩阵,最后通过距离-角度二维匹配滤波器抑制距离不匹配的主瓣干扰信号。仿真试验验证了本文所提抗干扰方法的有效性。Abstract: Smart noise convolution jamming is generated based on digital radio frequency memory (DRFM), which has suppressive and deceptive jamming effects, degrading the detection performance of the victim radar systems. In order to solve this problem, a noise convolution smart jamming countermeasure based on frequency diverse array (FDA)-multiple-input-multiple-output (MIMO) radar is proposed in this paper. The jamming signal modulated by the convolution of the radar transmit signal and the noise signal exhibits different distribution characteristics in the range-Doppler dimension than the target echo. Accordingly, the jamming samples in the Doppler clear area is firstly obtained by utilizing the white noise characteristic of the jamming signal in the Doppler domain. Then, the jamming covariance matrix is estimated by selecting the samples by each range bin. Finally, the range-angle-dependent two dimensional adaptive matched filter is constructed, and the jamming signal is suppressed due to the range mismatch. Simulation results demonstrate the effectiveness of the proposed approach.