Reduce Antenna Algorithm for blind-CAF in multi-user beamforming system

• Main Authors: YU,CI-HONG, 余奇紘
• Other Authors: 賀佳律
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/d9fc92

碩士 === 國立中央大學 === 通訊工程學系 === 103 === In this paper﹐we introduce four concurrent adaptive filter (CAF) as CMA+DD algorithm﹐CMA+MAP algorithm﹐CMA+RSC-MAP algorithm﹐and compare their performance of bit error rate (BER) in different scenario﹐we found that CMA+RSC-MAP algorithm and CMA+SC-MAP algorithm has the best performance of bit error rate﹐but in system complexity CMA+DD algorithm is the best ﹐CMA+RSC-MAP algorithm is second ﹐CMA+SC-MAP algorithm is the worst。 So we can know CMA+RSC-MAP has the best performance of bit error rate and it system complexity is very close with CMA+DD。 The reduce antenna algorithm ﹐we propose in this paper﹐it can reduce each concurrent adaptive system complexity effectively﹐ and does not affect their performance of bit error rate﹐therefore reduce antenna algorithm resolve the problem of high complexity for concurrent adaptive filter。