单自由度多分量线性调频信号的参数估计

Parameter Estimation of Superimposed Chirps with Single Degree of Freedom

针对逆合成孔径雷达成像的工程背景,提出了单自由度多分量线性调频信号的参数估计问题。利用稀疏成份分析技术,建立了信号表示的条件线性参数模型,提出了模型求解的序列线性规划算法。该模型能充分利用单自由度特性,获得的结果具有良好的稀疏表示特性和超分辨能力。仿真结果表明了该方法的有效性。

Aiming at the engineering background of inverse synthetic aperture radar imaging, this paper puts forward the problem of parameter estimation of superimposed chirps with single degree of freedom （SDOF）. Based on the technique of sparse component analysis, a conditionally-linear parameterized model is constructed for signal representation and an algorithm named sequential linear programming is presented to solve it. The proposed model and algorithm can make full use of the characteristic of SDOE and provide the sparsity-preserving results with supperresolution ability. In the end, the validity of the proposed method is shown by numeric results.