惩罚参数及p范数对FOCUSS算法影响的仿真分析  

Simulation Analysis of the Effect of Penalty Parameter and p-norm on FOCUSS Algorithm

作　　者：徐鹤[1] XU He(Center for Teaching Development, Yanshan University, Qinhuangdao 066004 Chin)

机构地区：[1]燕山大学教师教学发展中心,河北秦皇岛066004

出　　处：《科技创新与生产力》2017年第4期21-22,共2页Sci-tech Innovation and Productivity

基　　金：秦皇岛市科技计划项目(201602A041);燕山大学博士基金项目(B887)

摘　　要：FOCUSS是一种基于p范数约束的稀疏信号重构方法,是一种迭代加权最小均方算法,也是一种新的信号处理框架,在雷达、无线传感器网络、医学图像处理等众多领域均具有广泛应用,由于FOCUSS算法的重构性能既受惩罚参数的影响又受p范数约束的影响,因此本文拟通过仿真实验对各参数的影响进行深入剖析,以期为FOCUSS算法的最优应用提供技术参考。FOCUSS is a kind of sparse reconstruction method based on p-norm constraint and an iterative weighted least squares algorithm. As a new signal processing framework, it has been widely used in radar, wireless sensor network, medical image processing and other fields. Because the reconstruction performance of FOCUSS algorithm is affected by both the penalty parameter and the p-norm constraint, this paper attempts to analyze the influence of each parameter by simulation ex- periment, so as to provide the technical reference for the optimal application of FOCUSS algorithm.

关 键 词：FOCUSS 惩罚参数 p范数约束 仿真实验 

分 类 号：TN911[电子电信—通信与信息系统]