Non-data-aided signal-to-noise-ratio estimation Export

@inproceedings{citeulike:821657, abstract = {Non-data-aided (NDA) signal-to-noise-ratio (SNR) estimation is considered for binary phase shift keying systems where the data samples are governed by a normal mixture distribution. Inherent estimation accuracy limitations are examined via a simple, closed-form approximation to the associated Cramer-Rao bound which eliminates the need for numerical integration. The expectation-maximization algorithm is proposed to iteratively maximize the NDA likelihood function. Simulation results show that the resulting estimator offers statistical efficiency over a wider range of scenarios than previously published methods}, author = {Wiesel, A. and Goldberg, J. and Messer, H.}, citeulike-article-id = {821657}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=996844}, journal = {Communications, 2002. ICC 2002. IEEE International Conference on}, keywords = {bpsk, em, estimator, snr, wiesel}, pages = {197--201}, posted-at = {2006-08-30 00:58:18}, priority = {0}, title = {Non-data-aided signal-to-noise-ratio estimation}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=996844}, volume = {1}, year = {2002} }

TY - CONF ID - citeulike:821657 L3 - citeulike-article-id:821657 N2 - Non-data-aided (NDA) signal-to-noise-ratio (SNR) estimation is considered for binary phase shift keying systems where the data samples are governed by a normal mixture distribution. Inherent estimation accuracy limitations are examined via a simple, closed-form approximation to the associated Cramer-Rao bound which eliminates the need for numerical integration. The expectation-maximization algorithm is proposed to iteratively maximize the NDA likelihood function. Simulation results show that the resulting estimator offers statistical efficiency over a wider range of scenarios than previously published methods JF - Communications, 2002. ICC 2002. IEEE International Conference on EP - 201 TI - Non-data-aided signal-to-noise-ratio estimation VL - 1 SP - 197 KW - bpsk KW - em KW - estimator KW - snr KW - wiesel AU - Wiesel, A AU - Goldberg, J AU - Messer, H PY - 2002/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=996844 ER -