基于ADBF的多通道SAR抗干扰样本选择方法OACSTPCD
ADBF-based sample selection method in multi-channel SAR anti-jamming
针对多通道SAR抗干扰问题,可以利用空域自由度通过自适应波束形成技术达到增强期望信号、抑制干扰的目的.在波束形成过程中,计算各阵元的最优权矢量时,需要通过选取干扰和噪声的数据样本估算干扰加噪声协方差矩阵.若选择的数据样本中掺杂目标信号,则目标信号将会被误判为干扰并被抑制.针对多通道SAR抗干扰过程中需要注意的样本选择问题,通过消除方位向频域中主杂波宽度内的目标分量,得到干扰加噪声数据样本,继而计算协方差矩阵,并进行波束形成.通过实测数据成像结果及干噪比和信噪比指标验证了提出的自适应样本选择方法的有效性.与直接样本选择方法相比,自适应样本选择方法在信噪比上提高了近8 dB,干噪比下降了近6 dB,说明了该方法有效地保留了目标信号,抑制了干扰信号.
To solve the anti-jamming problem of multi-channel SAR,the spatial degree of freedom and adaptive beamforming technology(ADBF)can be used to enhance the desired signal and suppress the interference.In the process of beamforming,it is necessary to estimate the interference-plus-noise covariance matrix by selecting interference and noise data samples when calculating the optional weight vector of each array element.If the selected data samples are mixed with target signals,the target will be misjudged as interference and be suppressed.This paper aims at the sample selection in the anti-jamming process of multi-channel SAR.By eliminating the target component within the main clutter width in the azimuth frequency domain,the interference and noise data samples can be obtained,and then the covariance matrix can be calculated for beamforming.The effectiveness of the proposed method is verified by imaging results of measured data,interference-to-noise ratio(INR)and signal-to-noise ratio(SNR).In comparison with the direct sample selection method,the adaptive sample selection method improves the SNR by nearly 8 dB and decreases the INR by nearly 6 dB,which indicates that the method can effectively retain the target and suppresses the interference.
王远征;庄龙;王跃锟
南京电子技术研究所,江苏 南京 210039
电子信息工程
多通道SAR抗干扰自适应波束形成干扰加噪声协方差矩阵样本选择方位向频谱幅度主杂波宽度
multi-channel SAR anti-jammingADBFinterference-plus-noise covariance matrixsample selectionazimuth spectral amplitudemain clutter width
《现代电子技术》 2024 (007)
89-94 / 6
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