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基于L曲线的跳频信号重构正则化参数优化
引用本文:闫云斌,全厚德,崔佩璋.基于L曲线的跳频信号重构正则化参数优化[J].军械工程学院学报,2013(1):58-61.
作者姓名:闫云斌  全厚德  崔佩璋
作者单位:军械工程学院信息工程系,河北石家庄050003
摘    要: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.

关 键 词:跳频信号  正则化  FOCUSS算法  L曲线  稀疏分解  信号重构

Regularization Parameter Optimum of Signal Reconstruction in Frequency-Hopping Signal Based on L-Curve Method
YAN Yun-bin,QUAN Hou-de,CUI Pei-zhang.Regularization Parameter Optimum of Signal Reconstruction in Frequency-Hopping Signal Based on L-Curve Method[J].Journal of Ordnance Engineering College,2013(1):58-61.
Authors:YAN Yun-bin  QUAN Hou-de  CUI Pei-zhang
Institution:( Information Engineering Department, Ordnance Engineering College, Shijiazhuang 050003, China)
Abstract:The regularization parameter of Frequency Hopping (FH) signal reconstruction is re- searched based on L-curve. Firstly, the sparse characteristics of the FH signal are analyzed. The L- curve is used to choose the regularization parameter of FH signal reconstruction. And the extend- ed 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 envi- ronment using the extended generalization FOCUSS algorithm which the regularization parameter is obtained through the L-curve.
Keywords:frequency-hopping signal  regularization  FOCUSS algorithm  L-curve  sparse de-composition  signal reconstruction
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