Research and Simulation on Non-Blind Adaptive Beamforming Algorithm for TD-SCDMA System
Adaptive beanfforming algorithms continue to be a research hotspot of smart antennas.Among adaptive beamforming algorithms,non-blind adaptive algorithms attract most researchers”interests because they have better feasibility,stability performance and they are not affected by the accuracy of DOA estimation.The performance of non-blind adaptive algorithms used in TD-SCDMA communication system has not been studied and simulated in-depth yet.This paper tries to simulate and compare three typical non-blind adaptive algorithms including Least Mean Square algorithm (LMS),Recursive Least Squares algorithm (RLS),the Sample Covariance Matrix Inversion algorithm (SMI) for TD-SCDMA system.The simulation results show that all three algorithms can mitigate interferences,save power and improve the quality of sigoal.The simulation also indicates that better performances and applicability are obtained when the weights are estimated using the RLS algorithm than the LMS and SMI algorithms.
TD-SCDMA smart antenna beamforming non-blind adaptive algorithm
Mengjuan Yu Lianfeng Shen Bo Xu
National Mobile Communications Research Laboratory,Southeast University,Nanjing 210096,China Institute of Communications Engineering,PLA University of Science and Technology,Naniing 210018,Chin
国内会议
深圳
英文
226-231
2009-11-01（万方平台首次上网日期，不代表论文的发表时间）