The technique of SNR estimation is one of the key technologies in adaptive\nfrequency hopping system. The methods of channel quality estimation for\nnonlinear continuous phase modulation (CPM) signals have some limitations.\nTherefore, the algorithm of channel quality estimation for CPM signals is\nworthy of further study. Some similar phase characteristics between sampling\nCPM and MPSK motivate us to propose a channel estimation algorithm with\napplications to nonlinear CPM using linear modulation signal processing. A\ncomprehensive analysis of LDPC-CPM schemes using proposed algorithm is\npresented, and simulation results indicate that the proposed method can not\nonly estimate channel quality well but also make the normalized MSE (NMSE)\nof SNR estimate close to/less than 0.1 dB at SNR of 4 dB using short block\ncodes. It shows that the algorithm in this paper is effective enough to estimate\nthe signal to noise ratio (SNR). Meanwhile, the algorithm in this paper reduces\nthe complexity of computation compared with other traditional algorithms.
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