Operation-reduced Enumeration Technique for Soft-input Soft-output Iterative Sphere Decoding

被引：0

作者：

Huang, Yan-Zhang ^{[1
]}

Lin, Cheng-Hung ^{[1
]}

Lin, Shu-Yen ^{[1
]}

机构：

[1] Yuan Ze Univ, Dept Elect Engn, Jhongli 32003, Taiwan

来源：

PROCEEDINGS OF 4TH IEEE INTERNATIONAL CONFERENCE ON APPLIED SYSTEM INNOVATION 2018 ( IEEE ICASI 2018 ) | 2018年

关键词：

Multiple-input multiple-output technique; Sphere Decoding; Enumeration;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Using the Schnorr-Euchner (SE) enumeration for soft-input soft-output (SISO) sphere decoding is inefficient to implementation, because it calculates and sorts partial metrics of all constellation points exhaustively. In order to solve this problem, we use a low-complexity method which can be applied to the channel information and a-priori information enumerations for the SISO iterative K-best sphere decoding. In this paper, we present an algorithm that combines these two enumerations to reduce the operation complexity and do not need to sacrifice too much bit error rate (BER) performance.

引用

页码：1196 / 1198

页数：3

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