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Robust Interference Suppression in Spread Spectrum Systems using Locally Optimum Detection

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2 Author(s)
Roy, A. ; Pennsylvania State Univ., University Park, PA ; Doherty, J.F.

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 multi-variate 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)

Published in:

Military Communications Conference, 2006. MILCOM 2006. IEEE

Date of Conference:

23-25 Oct. 2006