An Effective Method of SNR Estimation for LDPC-CPM
- 1 College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
- 2 College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
- 3 Tianjin Key Laboratory of Intelligent Information Processing in Remote Sensing, Tianjin, China
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.
- Bo, G., et al. (2015) Compressed SNR-and-Channel Estimation for Beam Tracking in 60-GHz WLAN. China Communications, 12, 46-58. https://doi.org/10.1109/CC.2015.7122480
- Xu, H., Li, Z. and Zheng, H. (2004) A Non-Data-aided SNR Estimation Algorithm for QAM Signals. Pro. ICASSP2004, Chengdu, May 2004, 999-1003.
- Trachanas, I. and Fliege, N.J. (2008) A Novel Phase Based SNR Estimation Method for Constant Modulus Constellations. 3rd International Symposium on Communications, Control and Signal Processing. https://doi.org/10.1109/isccsp.2008.4537404
- Pauluzzi, D.R. and Beaulieu, N.C. (2000) A Comparison of SNR Estimation Techniques for the AWGN Channel. IEEE Transactions on Communications, 48, 1681-1691. http://doi.org/10.1109/26.871393
- Matzner, R. and Englberger, F. (1994) An SNR Estimation Algorithm Using Fourth-Order Moments, Proceedings of IEEE International Symposium on Information Theory, Trodheim, Munich, 119. https://doi.org/10.1109/isit.1994.394869
- Hua, X. and Hui, Z. (2004) The Simple SNR Estimation Algorithms for MPSK Signals. 2004 7th International Conference on Signal Processing.
- Fan, H.-B., Chen, J. and Cao, Z.-G. (2002) An Algorithm of SNR Estimation for Non-Constant Envelope Signal in the AWGN Channel. Chinese Journal of Electronics, 30, 1369-1371.
- Yin, W., Cheng, Y. and Shen, L. (2011) Adaptive Frequency-Hopping in HF Communications. Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering, 427-430.
- Xu, H. and Zheng, H. (2006) The Maximum-Likelihood SNR Estimation Algorithm for QAM Signals. 2006 8th International Conference on Signal Processing.
- Yang, K., et al. (2015) The Performance Analysis of LDPC Coded SFH/BPSK Anti-Jamming System. 2015 International Conference on Wireless Communications & Signal Processing (WCSP). https://doi.org/10.1109/WCSP.2015.7341171