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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2013, Vol. 34 ›› Issue (8): 1898-1905.doi: 10.7527/S1000-6893.2013.0116

• Electronics and Control • Previous Articles     Next Articles

A Near-optimal Lattice Reduction Aided Linear Parallel Detection Algorithm Based on MMSE

RUI Guosheng1, ZHANG Haibo1, TIAN Wenbiao1, DENG Bing2, LI Tingjun2   

  1. 1. Signal and Information Processing Provincial Key Laboratory in Shandong, Naval Aeronautical and Astronautical University, Yantai 264001, China;
    2. Department of Electronic Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China
  • Received:2012-10-23 Revised:2013-01-21 Online:2013-08-25 Published:2013-03-01
  • Supported by:

    National Natural Science Foundation of China (60902054);China Postdoctoral Science Foundation (20090460114, 201003758);The Special Foundation Program for Taishan Mountain Scholars

Abstract:

Existing multiple-input multiple-output (MIMO) detection algorithms based on Lattice Reduction (LR) can effectively improve the bit error rate (BER) performance. However, these detection algorithms have a large signal to noise ratio (SNR) gap when compared with the optimal maximum likelihood (ML) algorithm. In order to solve this problem, a new Lattice Reduction aided detection algorithm based on channel partition is proposed in this paper. In this algorithm, the signals through the worse conditional sub-channels are first detected with an ML algorithm. After cancelling the impact of these signals, the remaining are detected in parallel with the optimized sub-channels using Lattice Reduction. The simulation results show that, under 16QAM (Quadrature Amplitude Modulation) and 64QAM, the BER performance of the proposed algorithm can achieve the optimal result for a 4×4 MIMO system and have less than 0.5 dB SNR gap as compared with the ML algorithm for a 6×6 MIMO system.

Key words: MIMO system, Lattice Reduction, minimum mean square error, linearity, parallel

CLC Number: