Adaptive Detection of a Partly Known Signal Corrupted by Strong Interference

被引：18

作者：

Svensson, Albin ^{[1
]}

Jakobsson, Andreas ^{[1
]}

机构：

[1] Lund Univ, Ctr Math Sci, SE-22100 Lund, Sweden

来源：

IEEE SIGNAL PROCESSING LETTERS | 2011年 / 18卷 / 12期

基金：

英国惠康基金; 瑞典研究理事会;

关键词：

Iterative methods; signal detection; strong interference; uncertainty; RADAR DETECTION; HOMOGENEOUS NOISE; SUBSPACE;

D O I：

10.1109/LSP.2011.2172421

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

In this letter, we consider adaptive detection of a partly known signal corrupted by additive noise and strong interference with support that is only partly known. Assuming a homogeneous environment where the covariance matrix of the additive noise is the same for the primary and secondary data sets, although with the secondary data set also being affected by the interference, we allow for conic uncertainty models for both the signal and interference subspaces, developing a generalized likelihood ratio detector for the signal of interest. Numerical examples indicate that the proposed method offers a notable performance gain as compared to other recent related methods.

引用

页码：729 / 732

页数：4

共 20 条

[1]

[Anonymous], 2003, Introduction to Nessus

[2]

Adaptive radar detection of distributed targets in homogeneous and partially homogeneous noise plus subspace interference [J].