Design of high-throughput MIMO detectors using sort-free and early-pruned techniques

Jing Shiun Lin, Shih Hao Fang, Yi Hsuan Jen, Ming Der Shieh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


This paper presents a high-throughput multiple-input multiple-output (MIMO) signal detector based on the sort-free concept and the proposed mean-aided early-pruned scheme. The derived MIMO detector can reduce the number of node computation while maintaining the bit error rate (BER) performance of the conventional sort-free MIMO detection algorithm. Experimental results show that the proposed detector design with 4×4 antenna array and 16-QAM modulation has better normalized throughput rate compared to those of existing detectors under the same system configurations. Moreover, a significant reduction on node extensions can be achieved using the presented detection scheme compared with the conventional sort-free algorithm and the K-best algorithm.

Original languageEnglish
Title of host publicationTENCON 2010 - 2010 IEEE Region 10 Conference
Number of pages4
Publication statusPublished - 2010 Dec 1
Event2010 IEEE Region 10 Conference, TENCON 2010 - Fukuoka, Japan
Duration: 2010 Nov 212010 Nov 24

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON


Other2010 IEEE Region 10 Conference, TENCON 2010

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering


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