Robust interference suppression in spread spectrum systems using locally optimum detection

Arnab Roy, John F. Doherty

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Locally optimum (LO) detector is an appropriate technique for removing strong interference signals because its performance asymptotically approaches the global optimum as the signal amplitude goes to zero. However, deriving a LO detector with memory is often practically impossible due to the need to deal with multivariate probability density functions (pdf). Assuming Markovian structure for the interference and subsequently applying an autoregressive (AR) model leads to a straightforward implementation of the LO detector. Here we consider a system where a student t distributed noise drives an AR process and derive a LO detector for it. Further, we compare the performance of this detector to a traditional Wiener filter in terms of bit error rate (BER) and output signal-to-interference ratio (SIR).

Original languageEnglish (US)
Title of host publicationMilitary Communications Conference 2006, MILCOM 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)1424406188, 9781424406180
DOIs
Publication statusPublished - Jan 1 2006
EventMilitary Communications Conference 2006, MILCOM 2006 - Washington, D.C., United States
Duration: Oct 23 2006Oct 25 2006

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM

Other

OtherMilitary Communications Conference 2006, MILCOM 2006
CountryUnited States
CityWashington, D.C.
Period10/23/0610/25/06

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Roy, A., & Doherty, J. F. (2006). Robust interference suppression in spread spectrum systems using locally optimum detection. In Military Communications Conference 2006, MILCOM 2006 [4086493] (Proceedings - IEEE Military Communications Conference MILCOM). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MILCOM.2006.302114