Comparative performance of adaptive receivers for demodulating IS-95 downlink data

Kuei-Chiang Lai, R. E. Cagley, J. J. Shynk, M. Motamed, R. P. Gooch

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

6 Citations (Scopus)

Abstract

The performance of adaptive receiver architectures is investigated for demodulating IS-95 downlink data. The implementations include an adaptive minimum mean-square-error (MMSE) equalizer followed by a despreader, and an adaptive successive interference canceler (SIC), which are compared to a conventional matched filter (MF). By concentrating on an actual signal model (IS-95) and multipath channels, we address technical issues that other structures might not emphasize for generic CDMA (code-division multiple-access) signals. For the SIC, we are concerned with estimating the multipath channel as well as the relative user amplitude levels in order to regenerate a portion of the received signal due to a particular base station. Significant performance gains can be achieved by accurately identifying and equalizing for a base station channel using the pilot channel of the IS-95 downlink signal.

Original languageEnglish
Title of host publicationIEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC 2000
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages414-419
Number of pages6
ISBN (Electronic)0780358007, 9780780358003
DOIs
Publication statusPublished - 2000 Jan 1
EventIEEE Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC 2000 - Lake Louise, Canada
Duration: 2000 Oct 12000 Oct 4

Publication series

NameIEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC 2000

Other

OtherIEEE Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC 2000
Country/TerritoryCanada
CityLake Louise
Period00-10-0100-10-04

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Control and Systems Engineering

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