TITLE:
An Effective Method of SNR Estimation for LDPC-CPM
AUTHORS:
Rui Xue, Bingbing Sun, Tielin Zhu
KEYWORDS:
Frequency Hopping Systems, Signal-to-Noise Ratio, Nonlinear Continuous Phase Modulation, Channel Estimation, Mean Square Error
JOURNAL NAME:
International Journal of Communications, Network and System Sciences,
Vol.10 No.5B,
May
26,
2017
ABSTRACT: The technique of SNR estimation is one of the key technologies in adaptive frequency hopping system. The methods of channel quality estimation for non-linear continuous phase modulation (CPM) signals have some limitations. Therefore, the algorithm of channel quality estimation for CPM signals is worthy of further study. Some similar phase characteristics between sampling CPM and MPSK motivate us to propose a channel estimation algorithm with applications to nonlinear CPM using linear modulation signal processing. A comprehensive analysis of LDPC-CPM schemes using proposed algorithm is presented, and simulation results indicate that the proposed method can not only estimate channel quality well but also make the normalized MSE (NMSE) of SNR estimate close to/less than 0.1 dB at SNR of 4 dB using short block codes. It shows that the algorithm in this paper is effective enough to estimate the signal to noise ratio (SNR). Meanwhile, the algorithm in this paper reduces the complexity of computation compared with other traditional algorithms.