2013/06/10 by Patrick Clarke, Clarke, Patrick, Rodrigo C. de Lamare +1
Computer Science · Engineering · Mathematics · #Advanced Wireless Communication Techniques #Advanced Wireless Network Optimization #FOS: Computer and information sciences #Information Theory (cs.IT) #Wireless Communication Networks Research #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.1306.2362
3 figures, ISWCS, 2012
arxiv created 2013/06/10 · openalex publication_date 2013/06/10 · arxiv updated 2013/06/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper presents adaptive bidirectional minimum mean-square error (MMSE) parameter estimation algorithms for fast-fading channels. The time correlation between successive channel gains is exploited to improve the estimation and tracking capabilities of adaptive algorithms and provide robustness against time-varying channels. Bidirectional normalized least mean-square (NLMS) and conjugate gradient (CG) algorithms are devised along with adaptive mixing parameters that adjust to the time-varying channel correlation properties. An analysis of the proposed algorithms is provided along with a discussion of their performance advantages. Simulations for an application to interference suppression in DS-CDMA systems show the advantages of the proposed algorithms.