Citation

Abstract

An algorithm for estimating signal-to-noise ratio and combiner weight parameters for a discrete time series is presented. The algorithm is based upon the joint maximum likelihood estimate of the signal and noise power. The discrete-time series are the sufficient statistics obtained after matched filtering of a biphase modulated signal in additive white gaussian noise, before maximum likelihood decoding is performed.

Details

Volume
42-85
Published
May 15, 1986
Pages
32–41
File Size
621.5 KB