Efficient Multidimensional Harmonic Retrieval: A Hierarchical Signal Separation Framework

作     者：Lin, Chun-Hung Fang, Wen-Hsien 

作者机构：Natl Taiwan Univ Sci & Technol Dept Elect & Comp Engn Taipei Taiwan 

出 版 物：《IEEE SIGNAL PROCESSING LETTERS》 

年 卷 期：2013年第20卷第5期

页      面：427-430页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

主　　题：Filtering low-complexity algorithm M-D harmonic retrieval parameter estimation subspace algorithm 

摘      要：This paper presents a low-complexity one-dimensional (1-D) Unitary Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT)-based algorithm for multidimensional harmonic retrieval (MHR) problems based on an HIerarchical Signal Separation (HISS) technique, which interleaves the parameter estimation and filtering processes. The filtering process not only progressively partitions the signals with close parameters into separate groups, but also reduces the power of the additive noise, both of which entail higher parameter estimation accuracy. The pairing of the estimated parameters is also automatically achieved. Simulations show that the new algorithm provides satisfactory performance compared with previous works but with drastically reduced computations.