A Blind SNR Estimation Algorithm for MPSK Signals
The Generalized Split-Symbol Moment Estimator (GSSME) comes from the SSME with the change that the symbol interval is divided into several subintervals greater than two. An iterative GSSME-based blind Signal-to-Noise (SNR) estimation algorithm for MPSK signals is presented in this paper, and the relationship between the sample numbers per symbol and the number of subintervals is derived. Simulations are performed for BPSK, QPSK and 8PSK signals,respectively, and comparisons are made with the SSME. It is shown that the GSSME can achieve a lower bias and mean square error (MSE). Further the performance of the GSSME is independent of the modulation order M of the MPSK signals.
SUI Dan GE Lindong
Institute of Information and Engineering Information Engineering University Zhengzhou, Henan, China
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
375-379
2006-06-25（万方平台首次上网日期，不代表论文的发表时间）