Multiple symbol differential sphere decoding for unitary space-time modulation in continuous fading

LI Ying; WANG Xin; WEI Ji-bo

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Multiple symbol differential sphere decoding for unitary space-time modulation in continuous fading

更新时间：2024-10-14

- Multiple symbol differential sphere decoding for unitary space-time modulation in continuous fading
- Issue 4, Pages: 87-94(2007)
- 作者机构：
  
  1. 国防科技大学电子科学与工程学院
  2. 国防科技大学电子科学与工程学院,湖南,长沙,410073
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.72
- Published：2007
- 稿件说明：
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LI Ying, WANG Xin, WEI Ji-bo. Multiple symbol differential sphere decoding for unitary space-time modulation in continuous fading[J]. 2007, (4): 87-94.
DOI：

LI Ying, WANG Xin, WEI Ji-bo. Multiple symbol differential sphere decoding for unitary space-time modulation in continuous fading[J]. 2007, (4): 87-94. DOI：

摘要

基于连续衰落信道假设

将一种具有递推形式的近似最大似然(ML)度量嵌入自动球形译码算法中

提出了多符号差分近似自动球形译码(MSDAASD)。该算法适用于一般酉空时星座

克服了准静态信道假设下多符号差分球形译码(MSDSD)的错误平层现象

具有接近ML检测的性能

其平均复杂度在大多数情况下低于相同假设下的判决反馈检测算法。

Abstract

Based on the assumption of continuous fading

a multiple symbol differential approximate automatic sphere decoding（MSDAASD） algorithm was developed by incorporating a recursive form of an approximate maxi-mum-likelihood（ML） metric into automatic sphere decoding.The proposed algorithm is suitable for arbitrary unitary constellations and eliminates the error floor caused by in multiple symbol differential sphere decoding（MSDSD） with quasi-static channel assumption.Compared with decision-feedback detection under the same assumption

MSDAASD achieves similar performance of ML detection with much lower complexity at moderate to high signal-to-noise ratios.

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