Complex signal amplitude estimation and adaptive detection in unknown low-rank interference

被引：2
|
作者：
Dogandzic, Aleksandar [1 ]
Zhang, Benhong [1 ]
机构：
[1] Iowa State Univ, Dept Elect & Comp Engn, 3119 Coover Hall, Ames, IA 50011 USA
来源：
2006 FORTIETH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-5 | 2006年
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/ACSSC.2006.355166
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We propose a Bayesian method for complex signal amplitude estimation in low-rank interference. We assume that the received signal follows the generalized multivariate analysis of variance (GMANOVA) patterned-mean structure and is corrupted by low-rank spatially correlated interference and white noise. An iterated conditional modes (ICM) algorithm is developed for estimating the unknown complex signal amplitudes and interference and noise parameters. We also discuss initialization of the ICM algorithm and propose an adaptive-matched-filter (AMF) signal detector that utilizes the ICM estimation results. Numerical simulations demonstrate the performance of the proposed methods.
引用
收藏
页码：2232 / +
页数：2
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