通信学报2016，Vol.37Issue(10)：75-80,6.DOI:10.11959/j.issn.1000-436x.2016198
基于l1稀疏正则化的信源个数估计新算法
New source number estimation algorithm based onl1 sparse regularization
摘要
Abstract
In view of the problems of inefficient in lowSNR and less snapshots when using existing sources number es-timation related algorithms, a new algorithm based onl1 sparse regularization under space stationary noise was proposed to estimate the number of signal sources. The algorithm estimated the sources number by using the sparse representation of eigenvalues vectors with the suitable regularization parameter. Theoretical analysis and simulation results show that the algorithm can realize an accurate sources number estimation in lowSNR and less snapshots.关键词
稀疏正则化/信源个数估计/空间平稳噪声/正则化参数Key words
sparse regularization/sources number estimation/space stationary noise/regularization parameter分类
信息技术与安全科学引用本文复制引用
金芳晓,邱天爽,王鹏,夏楠,李景春..基于l1稀疏正则化的信源个数估计新算法[J].通信学报,2016,37(10):75-80,6.基金项目
国家自然科学基金资助项目（No.61139001, No.61172108, No.81241059, No.61501301）；国家科技支撑计划基金资助项目（No.2012BAJ18B06-04） Foundation Items：The National Natural Science Foundation of China (No.61139001, No.61172108, No.81241059, No.61501301), The National Key Technology R&D Program (No.2012BAJ18B06-04) （No.61139001, No.61172108, No.81241059, No.61501301）
