Adaptive parallel interference cancellation for CDMA systemsA weight selection and filtering scheme

Y. T. Hsieh*, W. R. Wu

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Parallel interference cancellation (PIC) is a well-known multiuser detection algorithm in direct-sequence code-division multiple-access (DS-CDMA) systems. It is typically implemented with a multi-stage architecture. One problem associated with the PIC is that unreliable interference cancellation may occur in the early stages and the system performance may be degraded. Thus, the partial PIC detector was developed to control the cancellation level by use of interference cancellation factors. Partial PIC can be implemented with an adaptive form, in which optimal weights are derived using the least mean square (LMS) algorithm. In this paper, we propose an algorithm improving the conventional adaptive partial PIC. The main idea is to reduce the number of active weights in the LMS algorithm, and to perform weight post-filtering such that the resultant excess mean square error can be reduced. We also analyze the performance of the proposed algorithm and derive the bit error rate of the second stage output. Simulation results verify that the proposed algorithm outperforms the conventional partial PIC, and derived analytical results are accurate.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalSignal Processing
Volume91
Issue number1
DOIs
StatePublished - Jan 2011

Keywords

  • LMS algorithm
  • Multiuser detection
  • Parallel interference cancellation
  • Performance analysis

Fingerprint Dive into the research topics of 'Adaptive parallel interference cancellation for CDMA systemsA weight selection and filtering scheme'. Together they form a unique fingerprint.

  • Cite this