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针对低分辨雷达获取的群目标信号的弱时频正交性以及难以分离的问题,在进行时频域增强处理的基础上,提出了一种基于全变差(TV)的群目标信号分离方法。在旋转目标模型的基础上,首先通过分析群目标信号的稀疏性,指出了进行时频域增强处理的必要性。然后利用群目标中各子目标对应的微动周期的差异性,通过双向延迟处理,对多次观测得到的群目标信号进行时频域增强处理。最后根据群目标信号能量区域的分布特性,利用局部TV融合和主分量分析相结合的方法,实现了群目标信号的高保真分离。仿真结果表明,在采样率较低的情况下,文中方法有效地解决了群目标信号中弱信号分量的分离及提取问题,其融合分辨效果明显优于基于TV范数的融合方法。
Aiming at the weak time-frequency orthogonality of the group target signal acquired by low-resolution radar and the difficulty of separation, a method based on total variation (TV) group target signal separation is proposed based on the time-frequency enhancement . Based on the rotation target model, the necessity of enhancing the time-frequency domain is pointed out by analyzing the sparsity of the target signals. Then, by using the difference of the fretting period corresponding to each sub-target in the group target, the group target signals obtained by the multiple observations are subjected to the time-frequency enhancement by two-way delay processing. Finally, according to the distribution characteristics of the energy range of the target signal in the group, the fusion of the local TV and the principal component analysis is used to realize the high fidelity separation of the target signals. The simulation results show that the proposed method effectively solves the problem of separation and extraction of weak signal components in the target signal at low sampling rate, and its fusion resolution is obviously better than that based on TV norm.