Multiband Radar Signal Phase Reference Synthesis Based on Matrix Pencil Method

Shuo Zhang, Jun Yang, Pengcheng Ge, Tingting Feng, Yu Du, Haohao Jiang
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引用次数: 1

Abstract

The multi-band signal phase reference fusion technique fuses several different sub-bands into one large bandwidth signal at the signal layer, so it can effectively improve the radar distance image resolution. Currently, most of the fusion techniques based on the full-pole model use root-MUSIC and its improved algorithm to achieve the estimation of the poles, and this method can obtain good fusion results at high signal-to-noise ratios. However, the root-MUSIC algorithm is susceptible to noise interference in low signal-to-noise conditions, which makes it difficult to extract the poles correctly and thus greatly affects the final effect of signal fusion. In order to reduce the influence of noise, we propose to use the averaging matrix bundle algorithm to achieve multi-band pole estimation, find out the linear phase term and compensate it, and use the coherence function method to find out the fixed phase term on this basis. Finally, the signal fusion is performed by combining the Matrix pencil method using the Two-segment echo data after alignment. The simulation experiments and the measured data show that the method effectively improves the multiband signal fusion effect at low signal-to-noise ratio, which verifies the feasibility of the method.
基于矩阵笔法的多波段雷达信号相位参考合成
多波段信号相位参考融合技术在信号层将多个不同的子波段融合为一个大带宽信号,从而有效地提高了雷达距离图像的分辨率。目前,基于全极点模型的融合技术大多采用root-MUSIC及其改进算法来实现极点的估计,该方法可以在高信噪比下获得较好的融合效果。然而,在低信噪比条件下,root-MUSIC算法容易受到噪声干扰,难以正确提取极点,从而极大地影响了信号融合的最终效果。为了降低噪声的影响,提出采用平均矩阵束算法实现多波段极点估计,找出线性相位项并进行补偿,在此基础上利用相干函数法找出固定相位项。最后,利用对准后的两段回波数据,结合矩阵铅笔法进行信号融合。仿真实验和实测数据表明,该方法有效地改善了低信噪比下的多波段信号融合效果,验证了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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