Use of upper triangular matrix tracking for complexity reduction in a linear ZF MIMO system

This paper addresses the complexity problem associated with the QR decomposition algorithm, which is frequently used as a faster alternative to channel inversion in a MIMO scheme. Channel tracking can be employed with QR equalization in order to reduce the pilot overhead of a MIMO system in a non-st...

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Bibliographic Details
Published in:Signal processing 2013-09, Vol.93 (9), p.2739-2747
Main Authors: Panda, Ravi Narayan, Kumari Padhy, Sasmita, Panigrahi, Siba Prasada
Format: Article
Language:English
Subjects:
Applied sciences
Channels
Complexity
Computation
Decomposition
Detection, estimation, filtering, equalization, prediction
Equalization
Exact sciences and technology
Information, signal and communications theory
Pilots
Signal and communications theory
Signal, noise
Symbols
Telecommunications and information theory
Tracking
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Summary:This paper addresses the complexity problem associated with the QR decomposition algorithm, which is frequently used as a faster alternative to channel inversion in a MIMO scheme. Channel tracking can be employed with QR equalization in order to reduce the pilot overhead of a MIMO system in a non-stationary environment. QR decomposition is part of the QR equalization method and has to be performed in every instance that the channel estimate is obtained. The high rate of the QR decomposition, a computationally intensive technique, results in a high computational complexity per symbol. Some novel modifications are proposed to address this problem. Reducing the repetition rate of QR decompositions and tracking R (the upper triangular matrix) directly, while holding unitary matrix Q fixed, can significantly reduce complexity per symbol at the expense of some introduced error.
ISSN:0165-1684
1872-7557
DOI:10.1016/j.sigpro.2013.01.002