论文信息 - Maximum likelihood SNR estimators for digital receivers

Maximum likelihood SNR estimators for digital receivers

The problem of estimating signal-to-noise ratio (SNR) is investigated, both for static and slowly fading channels without memory. Maximum likelihood SNR estimators are derived for sampled signal processing receivers as well as continuous time signal processing receivers. It is shown that a maximum likelihood SNR estimator operating with digitally modulated signals is a decision-based structure that necessarily incorporates a digital data receiver. Based on this observation, structures of the estimators for two measures of SNR are presented.

Yunfei Chen | N.C. Beaulieu

[1] R. Gagliardi,et al. PCM Data Reliability Monitoring Through Estimation of Signal-to-Noise Ratio , 1968 .

[2] D. G. Brennan,et al. Linear diversity combining techniques , 2003 .

[3] Norman C. Beaulieu,et al. On the Performance of Three Suboptimum Detection Schemes for Binary Signaling , 1985, IEEE Trans. Commun..

[4] Bin Li,et al. A low bias algorithm to estimate negative SNRs in an AWGN channel , 2002, IEEE Communications Letters.

[5] Sailes K. Sengijpta. Fundamentals of Statistical Signal Processing: Estimation Theory , 1995 .

[6] Nader Sheikholeslami Alagha,et al. Cramer-Rao bounds of SNR estimates for BPSK and QPSK modulated signals , 2001, IEEE Communications Letters.

[7] Norman C. Beaulieu,et al. Comparison of four SNR estimators for QPSK modulations , 2000, IEEE Communications Letters.

[8] W. Rudin. Real and complex analysis , 1968 .

[9] Krishna Balachandran,et al. Channel quality estimation and rate adaptation for cellular mobile radio , 1999, IEEE J. Sel. Areas Commun..

[10] Norman C. Beaulieu,et al. A comparison of SNR estimation techniques for the AWGN channel , 2000, IEEE Trans. Commun..

[11] Jens Zander,et al. Performance of optimum transmitter power control in cellular radio systems , 1992 .

[12] Theodore S. Rappaport,et al. Wireless communications - principles and practice , 1996 .

[13] T. Parks. Signal processing: Discrete spectral analysis, detection, and estimation , 1976, Proceedings of the IEEE.