基于L曲线的跳频信号重构正则化参数优化

摘要

The regularization parameter of Frequency Hopping (FH) signal reconstruction is researched based on L-curve. Firstly, the sparse characteristics of the FH signal are analyzed. The Incurve is used to choose the regularization parameter of FH signal reconstruction. And the extended generalization FOCUSS algorithm is used to estimate the sparse decomposition coefficients of FH signal. The simulation results show that the FH signal can be reconstructed in the noise environment using the extended generalization FOCUSS algorithm which the regularization parameter is obtained through the L-curve.%研究了基于L曲线的跳频信号重构正则化参数的选取问题,对跳频信号的稀疏性进行了分析,采用L曲线对系统的最优正则化参数进行了选取.在此基础上,通过推广的正则化FOCUSS算法估计了跳频信号的稀疏表示.仿真结果表明,通过L曲线选取的正则化参数在推广的正则化FOCUSS算法下,能够实现跳频信号在噪声环境下的重构.