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Adaptive Detection of a Partly Known Signal Corrupted by Strong Interference

Svensson, Albin and Jakobsson, Andreas LU (2011) In IEEE Signal Processing Letters 18(12). p.729-732
Abstract
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.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
uncertainty, strong interference, signal detection, Iterative methods
in
IEEE Signal Processing Letters
volume
18
issue
12
pages
729 - 732
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000296469700002
  • scopus:80455137051
ISSN
1070-9908
DOI
10.1109/LSP.2011.2172421
language
English
LU publication?
yes
id
919e9bc5-c559-4c20-bc7b-7bb1a8643804 (old id 2214243)
date added to LUP
2011-11-28 14:12:01
date last changed
2017-03-16 09:33:08
@article{919e9bc5-c559-4c20-bc7b-7bb1a8643804,
  abstract     = {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.},
  author       = {Svensson, Albin and Jakobsson, Andreas},
  issn         = {1070-9908},
  keyword      = {uncertainty,strong interference,signal detection,Iterative methods},
  language     = {eng},
  number       = {12},
  pages        = {729--732},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Signal Processing Letters},
  title        = {Adaptive Detection of a Partly Known Signal Corrupted by Strong Interference},
  url          = {http://dx.doi.org/10.1109/LSP.2011.2172421},
  volume       = {18},
  year         = {2011},
}