摘要
重构算法是压缩感知理论中重要的内容之一,而正则化匹配追踪算法因其优异的重构性能获得了广泛的应用。从正则化匹配追踪算法原子筛选原则出发,在相关性准则和正则化准则的基础上,提出了以能量分选为选择标准的ROMP改进算法。仿真实验证明,提出的ROMP改进算法在各个性能指标上均优于ROMP算法,验证了本改进算法的有效性和可靠性。在此基础上将其应用到雷达距离维成像中,取得了很好的成像效果。
Reconstruction algorithm is one of the most important contents of the compressive sensing theory,and as one of the reconstruction algorithms with it＇s excellent reconstruction performance,the regularized OMP algorithm is widely used.Based on the analysis of the atom screening principle of the ROMP algorithm,an improved algorithm is proposed.It follows the coherence principle and regularization guidelines,and an energy sorting principle is applied to the improved algorithm.Simulation results show that the improved algorithm has better performance than the ROMP algorithm in each index,and the validity and reliability is proved.At last,the proposed algorithm is applied to range dimension in radar signal processing.
出处
《电子测量技术》
2016年第5期154-158,共5页
Electronic Measurement Technology
关键词
压缩感知
正则化匹配追踪算法
相关性准则
能量分选
compressive sensing
regularized OMP algorithm
coherence principle
energy sorting
