Low complexity Wiener filtering in CDMA systems using a class of pseudo-noise spreading codes

Rodrigo Carvajal, Kaushik Mahata, Juan C. Aguero

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Code division multiple access (CDMA) has become a widely adopted technology for wireless communications, particularly in mobile third generation systems (3G) and global positional system (GPS). In CDMA, a particular class of pseudonoise (PN) spreading codes yields a code-set Grammian with only two distinct eigenvalues. For these spreading codes, we propose a computationally efficient method for signal detection using Wiener filtering. Our approach relies on a matrix inversion step, where we gain in computational efficiency by using the ShermanMorrisonWoodbury formula. The resulting approach involves significantly less computational load compared to popular approaches like Conjugate Gradient (CG) method and the (traditional) Cholesky decomposition. © 2012 IEEE.
Original languageEnglish
Pages (from-to)1357-1360
Number of pages4
JournalIEEE Communications Letters
DOIs
Publication statusPublished - 17 Jul 2012
Externally publishedYes

Fingerprint Dive into the research topics of 'Low complexity Wiener filtering in CDMA systems using a class of pseudo-noise spreading codes'. Together they form a unique fingerprint.

  • Cite this