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.
|Number of pages||5|
|Journal||Conference Record - International Conference on Communications|
|State||Published - 2002|
|Event||2002 International Conference on Communications (ICC 2002) - New York, NY, United States|
Duration: 28 Apr 2002 → 2 May 2002