Title :
Adaptive estimators of output SNR for random channels
Author :
Kraut, Shawn ; Scharf, Louis L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
Abstract :
Matched and adaptive subspace detectors are actually maximum-likelihood estimators of the output signal-to-noise ratio (SNR). This means they may be used for the dual purpose of decoding symbols (or detecting targets) and estimating channel quality. We develop their dual function; and review probability distributions and performances for these SNR estimators.
Keywords :
adaptive estimation; adaptive signal detection; covariance matrices; decoding; maximum likelihood estimation; noise; probability; random processes; telecommunication channels; CFAR detector; SNR estimators; adaptive estimators; adaptive subspace detector; channel quality estimation; matched subspace detector; maximum-likelihood estimators; noise covariance matrix; output SNR; output signal-to-noise ratio; performance; probability distribution; random channels; symbol decoding; target detection; Adaptive signal detection; Detectors; Helium; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; Noise figure; Probability distribution; Signal to noise ratio; Statistics;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.831887
