Generalized projection algorithm for blind interference suppression in DS/CDMA communications

Sang C. Park, John F. Doherty

Research output: Contribution to journalArticle

38 Citations (Scopus)

Abstract

453-460. New blind adaptive interference suppression algorithms for DS/CDMA communication systems are presented. A generalized projection algorithm is presented to update a multiple access interference (MAI) suppression filter in a static communication environment. The algorithm adaptively adjusts the filter coefficients by iteratively projecting them onto constraint sets. The constraint sets consist of data sets and property sets, which are obtained from the received signal and prior knowledge of the desired signal, respectively. A space alternating generalized projection algorithm with approximate EM mapping is also presented to suppress the MAI in a dynamic communication environment. This algorithm jointly estimates the filter and desired signal amplitude using a stochastic approximation of the EM algorithm. The performance characteristics of the proposed algorithms are shown by output signal-to-interference ratio and bitor-rate simulation results. The results show that the proposed algorithms significantly outperform the existing adaptive algorithms in steady state.

Original languageEnglish (US)
Pages (from-to)453-460
Number of pages8
JournalIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Volume44
Issue number6
DOIs
StatePublished - Dec 1 1997

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Interference suppression
Code division multiple access
Communication
Multiple access interference
Adaptive algorithms
Communication systems

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

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AB - 453-460. New blind adaptive interference suppression algorithms for DS/CDMA communication systems are presented. A generalized projection algorithm is presented to update a multiple access interference (MAI) suppression filter in a static communication environment. The algorithm adaptively adjusts the filter coefficients by iteratively projecting them onto constraint sets. The constraint sets consist of data sets and property sets, which are obtained from the received signal and prior knowledge of the desired signal, respectively. A space alternating generalized projection algorithm with approximate EM mapping is also presented to suppress the MAI in a dynamic communication environment. This algorithm jointly estimates the filter and desired signal amplitude using a stochastic approximation of the EM algorithm. The performance characteristics of the proposed algorithms are shown by output signal-to-interference ratio and bitor-rate simulation results. The results show that the proposed algorithms significantly outperform the existing adaptive algorithms in steady state.

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