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目标极点特征具有目标姿态不敏感性以及明晰的物理意义,是雷达目标识别研究的重点和热点方向之一。为了实现目标极点的准确提取,提出了目标极点数目已知及未知情况下,奇异值分解参数的确定方法,并以实例验证了方法的有效性;通过对不同信噪比的噪声信号进行极点、留数提取及误差分析,探究了矩阵束算法抑制噪声的能力。仿真结果表明,矩阵束算法对信噪比为10 dB的噪声信号进行极点提取时仍具有较高的精确度。
The target pole feature has the target attitude insensitivity and clear physical meaning, which is one of the focuses and hotspots of the radar target recognition research. In order to achieve the accurate extraction of the target pole, the method of determining the singular value decomposition parameter with the number of target poles known and unknown is proposed, and the effectiveness of the method is verified by examples. By means of the pole of the noise signal with different SNR, Residue extraction and error analysis, the matrix beam algorithm to suppress noise ability. The simulation results show that the matrix-based beamforming algorithm still has higher accuracy when extracting the pole signal with the noise signal of 10 dB.