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基于稀疏系数和多级搜索策略的信号参数估计
引用本文:秦国领,刘艳群,张广良,刘 旺,杨 力. 基于稀疏系数和多级搜索策略的信号参数估计[J]. 电讯技术, 2017, 57(9): 986-991. DOI: 10.3969/j.issn.1001-893x.2017.09.002
作者姓名:秦国领  刘艳群  张广良  刘 旺  杨 力
作者单位:酒泉卫星发射中心,甘肃 酒泉,732750
摘    要:参数估计是盲信号处理的关键环节,对后续信号的侦察处理意义重大.针对当前压缩域信号参数估计问题,提出了一种新的信号参数估计算法,利用稀疏系数在不同测量矩阵中相同稀疏字典下位置相同的特点,实现了信号参数估计的区间预判;基于理论分析确定了多级搜索策略的最优级次,实现了稀疏字典原子数目的降低.仿真结果表明,算法在提高信号参数估计精度的同时显著降低了运算复杂度.

关 键 词:信号参数估计  压缩感知  稀疏位置估计  多级搜索策略  正交匹配追踪

Signal parameter estimation based on sparse coefficient and multi-stage search strategy
QIN Guoling,LIU Yanqun,ZHANG Guangliang,LIU Wang and YANG Li. Signal parameter estimation based on sparse coefficient and multi-stage search strategy[J]. Telecommunication Engineering, 2017, 57(9): 986-991. DOI: 10.3969/j.issn.1001-893x.2017.09.002
Authors:QIN Guoling  LIU Yanqun  ZHANG Guangliang  LIU Wang  YANG Li
Affiliation:Jiuquan Satellite Launch Center,Jiuquan 732750,China
Abstract:Estimation of signal parameter is the key procedure in blind signal processing,which is very im-portant for subsequence signal capture analysis. In order to solve the problem of signal parameter estima-tion in compressed domain,a new algorithm for signal parameter estimation is proposed. According to the characteristics that the sparse coefficient has same location information between different measurement ma-trix in same sparse dictionary,it realizes the signal parameter interval pre-estimation. It uses the optimal multi-level search strategy to reduce atom numbers in sparse dictionary. Simulations of the linear fre-quence modulation( LFM) signal show that the algorithm obtains high estimation performance and decrea-ses computational complexity.
Keywords:signal parameter estimation  compressed sensing  sparse location estimation  multi-stage search strategy  orthogonal matching pursuit( OMP)
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