Design and Experimental Study of Turbo Equalization for Multiple Antenna Systems

Design and Experimental Study of Turbo Equalization for Multiple Antenna Systems
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Total Pages : 202
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ISBN-10 : OCLC:843771535
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Book Synopsis Design and Experimental Study of Turbo Equalization for Multiple Antenna Systems by : Amirhossein Rafati

Download or read book Design and Experimental Study of Turbo Equalization for Multiple Antenna Systems written by Amirhossein Rafati and published by . This book was released on 2012 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Multiple-input multiple-output (MIMO) wireless communication systems have attracted a lot of interest in the past decade due to their capability in delivering high spectral efficiency as well as their robust performance against fading. In MIMO inter-symbol interference (lSI) channels, a severe interference problem occurs due to the lSI and co-channel interference. Thus, the error propagation problem becomes more serious, and its mitigation has to be considered when designing the receiver. In this regard, a turbo equalizer which exchanges soft information between the equalizer and the decoder has been shown to be an effective method to combat the lSI caused by frequency-selective channels. By iteratively exchanging soft extrinsic information between a soft-input soft-output equalizer and a decoder, turbo equalizer can achieve large performance gains over a separated equalizer and decoder structure. In its original form, Douillard employed maximum a posteriori probability (MAP) equalization and decoding methods in an iterative fashion. However, the computational complexity required to derive the a posteriori log likelihood ratio (LLR) for the MAP decoder is prohibitive. Therefore, the design of low-complexity turbo equalizers based on minimum mean square error (MMSE) criterion has attracted considerable attention in the past few years. In this work, a new soft decision feedback equalizer (SDFE) is proposed for MIMO Communication systems. The computational complexity of the proposed algorithm only linearly grows with the number of equalizer coefficients, compared with the quadratic complexity of minimum mean square error (MMSE)-based linear turbo equalizer with time-varying coefficients. The performance of our proposed algorithm is tested by extensive undersea trial data collected in two medium-range undersea experiments"--Abstract, Leaf iv.


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