Modified Schnorr-Euchner sphere decoding for iterative spatial multiplexing MIMO receiver

Ming Zhao*, Zhenning Shi, Mark C. Reed

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (Scopus)

    Abstract

    Recent work has shown that the Sphere Decoder (SD) based on Schnorr-Euchner (SE) Strategy offers significant reductions in the computation complexity compared to all previously proposed sphere decoders with a near-Maximum Likelihood (ML) detection performance. This paper proposed a novel modified SE algorithm for iterative Spatial Multiplexing multiple-input-multiple-output (MIMO) receiver to estimate the maximum a posteriori (MAP) probability of the received symbol sequence. In addition, two schemes are proposed to further improve the performance and reduce the complexity over iterations, one is to improve the ZF-DFE estimate by using the quadratic approximation of a priori information, the other is to improve the tree search by employing starting point zig-zag technique. Simulation results show that significant performance gain and complexity reduction can be obtained compared to existing SE approach.

    Original languageEnglish
    Title of host publication2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications - Proceedings, ISSSTA2008
    Pages124-128
    Number of pages5
    DOIs
    Publication statusPublished - 2008
    Event2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications, ISSSTA2008 - Bologna, Italy
    Duration: 25 Aug 200828 Aug 2008

    Publication series

    NameIEEE International Symposium on Spread Spectrum Techniques and Applications

    Conference

    Conference2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications, ISSSTA2008
    Country/TerritoryItaly
    CityBologna
    Period25/08/0828/08/08

    Fingerprint

    Dive into the research topics of 'Modified Schnorr-Euchner sphere decoding for iterative spatial multiplexing MIMO receiver'. Together they form a unique fingerprint.

    Cite this