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Fixed Point Realization of Iterative LR-Aided Soft MIMO Decoding Algorithm
Mehnaz Rahman, Gwan S. Choi
Pages - 14 - 24     |    Revised - 01-05-2015     |    Published - 31-05-2015
Volume - 9   Issue - 2    |    Publication Date - May 2015  Table of Contents
K-best Algorithm, MIMO, Lattice Reduction, Iterative Soft Decoding.
Multiple-input multiple-output (MIMO) systems have been widely acclaimed in order to provide high data rates. Recently Lattice Reduction (LR) aided detectors have been proposed to achieve near Maximum Likelihood (ML) performance with low complexity. In this paper, we develop the fixed point design of an iterative soft decision based LR-aided K-best decoder, which reduces the complexity of existing sphere decoder. A simulation based word-length optimization is presented for physical implementation of the K-best decoder. Simulations show that the fixed point result of 16 bit precision can keep bit error rate (BER) degradation within 0.3 dB for 8×8 MIMO systems with different modulation schemes.
CITED BY (2)  
1 Rahman, M., & Choi, G. S. (2016). Hardware Architecture of Complex K-best MIMO Decoder. arXiv preprint arXiv:1602.06009.
2 Rahman, M., & Choi, G. S. (2015). Iterative Soft Decision Based Complex K-best MIMO Decoder. Signal Processing: An International Journal (SPIJ), 9(5), 54.
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Mr. Mehnaz Rahman
Texas A&M University - United States of America
Dr. Gwan S. Choi
Department of ECE Texas A&M University College Station, Tx- 77840, USA - United Stated of America