基于盒优化的大型系统SUMIS MIMO软检测复杂度降低

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Pub Date : 2016-03-20 DOI:10.1109/ICASSP.2016.7472392

M. Simarro, V. García, F. Martínez-Zaldívar, Alberto González, A. Vidal

{"title":"基于盒优化的大型系统SUMIS MIMO软检测复杂度降低","authors":"M. Simarro, V. García, F. Martínez-Zaldívar, Alberto González, A. Vidal","doi":"10.1109/ICASSP.2016.7472392","DOIUrl":null,"url":null,"abstract":"A new algorithm called SUMIS-BO is proposed for soft-output MIMO detection. This method is a meaningful improvement of the \"Subspace Marginalization with Interference Suppression\" (SUMIS) algorithm. It exhibits good performance with reduced complexity and has been evaluated and compared in terms of performance and efficiency with the SUMIS algorithm using different system parameters. Results show that the performance of the SUMIS-BO is similar to the SUMIS algorithm, however its efficiency is improved. The new algorithm is far more efficient than SUMIS, especially with large systems.","PeriodicalId":165321,"journal":{"name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Complexity reduction of SUMIS MIMO soft detection based on box optimization for large systems\",\"authors\":\"M. Simarro, V. García, F. Martínez-Zaldívar, Alberto González, A. Vidal\",\"doi\":\"10.1109/ICASSP.2016.7472392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new algorithm called SUMIS-BO is proposed for soft-output MIMO detection. This method is a meaningful improvement of the \\\"Subspace Marginalization with Interference Suppression\\\" (SUMIS) algorithm. It exhibits good performance with reduced complexity and has been evaluated and compared in terms of performance and efficiency with the SUMIS algorithm using different system parameters. Results show that the performance of the SUMIS-BO is similar to the SUMIS algorithm, however its efficiency is improved. The new algorithm is far more efficient than SUMIS, especially with large systems.\",\"PeriodicalId\":165321,\"journal\":{\"name\":\"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.2016.7472392\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.2016.7472392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

提出了一种用于软输出MIMO检测的SUMIS-BO算法。该方法是对“子空间边缘干扰抑制”(SUMIS)算法的改进。该算法具有较好的性能和较低的复杂度，并与使用不同系统参数的SUMIS算法在性能和效率方面进行了评估和比较。结果表明，SUMIS- bo算法的性能与SUMIS算法相当，但效率有所提高。新算法比SUMIS要高效得多，尤其是在大型系统中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Complexity reduction of SUMIS MIMO soft detection based on box optimization for large systems

A new algorithm called SUMIS-BO is proposed for soft-output MIMO detection. This method is a meaningful improvement of the "Subspace Marginalization with Interference Suppression" (SUMIS) algorithm. It exhibits good performance with reduced complexity and has been evaluated and compared in terms of performance and efficiency with the SUMIS algorithm using different system parameters. Results show that the performance of the SUMIS-BO is similar to the SUMIS algorithm, however its efficiency is improved. The new algorithm is far more efficient than SUMIS, especially with large systems.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

自引率

0.00%

发文量