Adaptive MIMO channel estimation using sparse variable step-size NLMS algorithms

Guan Gui, Li Xu, Lin Shan, Fumiyuki Adachi

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

4 Citations (Scopus)

Abstract

To estimate multiple-input multiple-output (MIMO) channels, invariable step-size normalized least mean square (ISSNLMS) algorithm was applied to adaptive channel estimation (ACE). Since the MIMO channel is often described by sparse channel model due to broadband signal transmission, such sparsity can be exploited by adaptive sparse channel estimation (ASCE) methods using sparse ISS-NLMS algorithms. It is well known that step-size is a critical parameter which controls three aspects: algorithm stability, estimation performance and computational cost. The previous approaches can exploit channel sparsity but their step-sizes are keeping invariant which unable balances well the three aspects and easily cause either estimation performance loss or instability. In this paper, we propose two stable sparse variable step-size NLMS (VSS-NLMS) algorithms to improve the accuracy of MIMO channel estimators. First, ASCE for estimating MIMO channels is formulated in MIMO systems. Second, different sparse penalties are introduced to VSS-NLMS algorithm for ASCE. In addition, difference between sparse ISSNLMS algorithms and sparse VSS-NLMS ones are explained. At last, to verify the effectiveness of the proposed algorithms for ASCE, several selected simulation results are shown to prove that the proposed sparse VSS-NLMS algorithms can achieve better estimation performance than the conventional methods via mean square error (MSE) and bit error rate (BER) metrics.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages605-609
Number of pages5
ISBN (Electronic)9781479958320
DOIs
Publication statusPublished - 2014 Jan 27
Event2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014 - Macau, China
Duration: 2014 Nov 192014 Nov 21

Publication series

Name2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014

Other

Other2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014
CountryChina
CityMacau
Period14/11/1914/11/21

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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