在本篇論文中，我們先介紹CMA+DD﹐CMA+MAP﹐CMA+SC-MAP﹐CMA+RSC-MAP等並行濾波器的演算法﹐並在不同的情境下比較以上四個演算法可以得知，在BER系統效能的觀點 CMA+RSC-MAP演算法和CMA+SC-MAP演算法相較於其他的演算法是最佳的，以系統複雜度的觀點可以得知CMA+DD為最佳CMA+RSC-MAP次之，CMA+SC-MAP則最差。由此可知CMA+RSC-MAP具有最佳的BER效能還擁有與CMA+DD相近的系統複雜度，而本篇論文所提出的降低天線演算法(Reduce Antenna Algorithm)加入各個演算法中不但不會影響BER系統效能且有效的降低系統複雜度，也解決了並濾波器高複雜度的問題。;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。
