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.
Highlights
Adaptive frequency hopping is the core technology in modern military ultrashort electric wave communication
The channel quality assessment method based on bit error rate (BER) calculation estimates error rate by comparing the estimated value of the detection with the threshold after detecting and satisfying error coding, the channel which is greater than the threshold is determined to be a bad channel, which is less than the threshold determined to be a good channel
In all the methods of signal to noise ratio (SNR) estimation algorithms, second and fourth moment estimation (M2M4) and maximum likelihood estimation (ML) method must keep being synchronized both in the carrier and clock; the Ref. [5] uses the training sequence configured to receive a signal from the correlation matrix to estimate the signal to interference ratio of time division multiple access (TDMA) system which is based on the signal space projection method; the Ref. [6] uses a signal fourth moment to estimate the constant envelope SNR; the Ref
Summary
Adaptive frequency hopping is the core technology in modern military ultrashort electric wave communication. With the hopping rate is greater than the information rate in military field in general, the calculation of the error rate of a channel is extremely difficult, so we can’t use the channel quality evaluation method based on BER. Because of its characteristics of continuous phase, we can use the similar characteristics of CPM carrier phase with MPSK at the final value =t (n + 1)T which is based on the phase obtained after sampling time [2]. On this basis, we come up with a channel estimation processing method which simplifies the algorithm computation of traditional SNR estimation and gets good performance.
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