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．
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.
出处
《军械工程学院学报》
2013年第1期58-61,共4页
Journal of Ordnance Engineering College
关键词
跳频信号
正则化
FOCUSS算法
L曲线
稀疏分解
信号重构
frequency-hopping signal
regularization
FOCUSS algorithm
L-curve
sparse de-composition
signal reconstruction
