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随机变频信号体制不仅可以降低系统瞬时带宽和数据采样率,还具有很强的抗干扰能力,然而,信号频率的随机变化导致现有目标散射中心估计方法失效。推导了随机变频信号的回波模型,在分析回波稀疏特性的基础上,提出了一种基于压缩感知的散射中心模型参数估计方法,将参数估计问题转化为压缩感知理论中的稀疏信号重构问题,并分析了感知矩阵对稀疏信号的重构性能。实验结果表明,所提方法能够在降低数据采样率的情况下对目标散射中心参数进行有效估计。
However, the random variation of the signal frequency leads to the failure of the existing methods for estimating the target center of scattering. Based on the analysis of echo sparsity characteristics, a method for parameter estimation of scattering center model based on compressive sensing is proposed. The problem of parameter estimation is transformed into the sparse signal reconstruction in compressive sensing theory Problem, and analyzes the performance of sparse signal reconstruction by perceptual matrix. The experimental results show that the proposed method can effectively estimate the target scattering center parameters while reducing the data sampling rate.