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Cites:

Information Journal Paper

Title

MIMO Channel Estimation by LMS and RLS Algorithms and QR Decomposition Method

Pages

  29-37

Abstract

 Different method are used for channel estimation in MIMO systems, Each of which has different functionality. MIMO systems are like equations with multiple variables, variables are transmitted symbols by transmitter (M) and equations are received symbols in receiver (N). Different mathematical methods are for decomposition of channel matrix, than Q&R Decomposition is one of these methods. Using decomposition for channel matrix with adaptive algorithms such as LMS and RLS in MIMO systems will simplify and reduce complexity. In this paper, the MIMO channel will be modeled by LMS and RLS algorithms and instead directly of estimated the channel matrix H that very complexity, in QR matrix, first estimated Q and then estimated R, that the channel matrix is estimated. According result, in MIMO systems, channel modeling with LMS and RLS adaptive algorithms and applying QR decomposition will result in the error reduction.

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  • Cite

    APA: Copy

    Dashtian, Ehsan, SHAHZADI, ALI, & Lari, Mohammad. (2020). MIMO Channel Estimation by LMS and RLS Algorithms and QR Decomposition Method. JOURNAL OF ADVANCED SIGNAL PROCESSING, 4(1 (5) ), 29-37. SID. https://sid.ir/paper/964579/en

    Vancouver: Copy

    Dashtian Ehsan, SHAHZADI ALI, Lari Mohammad. MIMO Channel Estimation by LMS and RLS Algorithms and QR Decomposition Method. JOURNAL OF ADVANCED SIGNAL PROCESSING[Internet]. 2020;4(1 (5) ):29-37. Available from: https://sid.ir/paper/964579/en

    IEEE: Copy

    Ehsan Dashtian, ALI SHAHZADI, and Mohammad Lari, “MIMO Channel Estimation by LMS and RLS Algorithms and QR Decomposition Method,” JOURNAL OF ADVANCED SIGNAL PROCESSING, vol. 4, no. 1 (5) , pp. 29–37, 2020, [Online]. Available: https://sid.ir/paper/964579/en

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