Simplified Maximum Likelihood Detection Algorithm in Vertical-Bell Labs Layered Space-Time System

令洁; 任品毅; 裴彬; 秦川

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Simplified Maximum Likelihood Detection Algorithm in Vertical-Bell Labs Layered Space-Time System

更新时间：2025-12-08

- Simplified Maximum Likelihood Detection Algorithm in Vertical-Bell Labs Layered Space-Time System
- Vol. 42, Issue 6, Pages: 743-746(2008)
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Online First：09 June 2008，
  
  Published：2008
- 稿件说明：
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令洁, 任品毅, 裴彬, et al. Simplified Maximum Likelihood Detection Algorithm in Vertical-Bell Labs Layered Space-Time System[J]. 2008, 42(6): 743-746.
DOI：

令洁, 任品毅, 裴彬, et al. Simplified Maximum Likelihood Detection Algorithm in Vertical-Bell Labs Layered Space-Time System[J]. 2008, 42(6): 743-746. DOI：

摘要

针对贝尔实验室垂直分层空时系统最大似然检测复杂度过高的问题

提出一种简化最大似然算法.该算法利用多维高斯分布逼近干扰加噪声的统计特性

并根据发射天线数和调制阶数来调整待检测发射向量的个数

以减小需搜索的待检测信号向量个数

在复杂度不高的情况下就可达到与最优检测相近的误码性能.仿真结果表明

当发射天线数为4、采用16-QAM调制时

该方案可仅用最大似然算法0.0162倍的复杂度达到与其相近的误码率.

Abstract

Focusing on the problem that the detection complexity was high in vertical-Bell labs layered space-time system

a novel simplified maximum likelihood algorithm was proposed. The probability distribution of interference and noise is approximated by the Gaussian distribution. Search region is drastically reduced by changing the number of candidate transmit signal vectors according to transmit antenna number and modulation size. Near optimum performance is obtained with low complexity. Simulation shows that with 4 transmit antennas

16-QAM modulation

the new algorithm's bit error rate is close to the optimum value of the maximum likelihood detection algorithm with 0.016 2 times of its complexity.

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references

DAMEN M O, GAMAL H El, CAIRE G.On maximum-likelihood detection and the search for the closest lattice point [J].IEEE Trans on Information Theory, 2003, 49(10): 2389-2402.

VITERBO E, BOUTROS J. A universal lattice code decoder for fading channels [J]. IEEE Trans on Information Theory, 1999, 45(5): 1639-1642.

BRUENL L, BOUTROS J. Lattice decoding for joint detection in direct-sequence CDMA systems [J]. IEEE Trans on Information Theory, 2003, 49(4): 1030-1037.

PHAM D, PATTIPATI K R, WILLETT P K, et al. A generalized probabilistic data association detector for multiple antenna systems [J]. IEEE Communication Magazine, 2004, 8(4): 205-207.

LATSOUDAS G, SIDIROPOULOS N D. A hybrid probabilistic data association-sphere decoding detector for multiple-input-multiple-output systems [J]. IEEE Signal Communication Magazine, 2005, 12(4): 309-312.

SEETHALER D, ARTES H, HLAWATSCH F. Dynamic nulling-and-canceling for efficient near-ML decoding of MIMO systems [J]. IEEE Transactions on Signal Processing, 2006, 54(12): 4741-4752.

HOCHWALD B M, ten Brink S. Achieving near-capacity on a multiple-antenna channel [J]. IEEE Transactions on Communications, 2003, 51(3): 389-399.

SUNG H, LEE K B E, KANG J W. A simplified maximum likelihood detection scheme for MIMO systems [C]∥Proc 2003 IEEE 58th Vehicular Technology Conference. Piscataway,N J, USA: IEEE Press,2003:419-423.

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