Partial Parallel Interference Cancellation Employing Fuzzy Theory
Multiple access interference (MAI) is inevitable in all kinds of CDMA mobile communication systems. In order to decrease MAI efficiently parallel interference cancellation (PIC) was proposed, however, it would be injured by mistake decision. Thus a wide variety of partial parallel interference cancellation (PPIC) algorithms have been constructed so as to solve this problem. Under such background this paper applied basic fuzzy theory to PIC and generated a new PPIC algorithm -fuzzy parallel interference cancellation based on estimated signal-to-interference ratio (SIR-FPIC). Matlab simulation results showed that SIR-FPIC algorithm was able to lower the system bit error rate compared with conventional PIC and improve the reception capability.
PPIC SIR-FPIC ICF membership function
Yongbo Zhang Tingting Shao Yanping Li
Physics and Electronics Information College Yanan University Yanan, P.R.C. Information Engineering College Taiyuan University of Technology Taiyuan, P.R.C.
国际会议
2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)
太原
英文
603-606
2009-07-10（万方平台首次上网日期，不代表论文的发表时间）