Title :
Adaptive gain control (Corresp.)
Author :
Wang, Chia-pu ; Rappaport, S.
fDate :
9/1/1971 12:00:00 AM
Abstract :
A Bayesian learning algorithm for statistically optimum adaptive gain control (AGC) is derived in which the receiver gain is adjusted during the learning process so that the average cost of excluding the received signal from the receiver´s dynamic range is minimized. Application of the approach to the frequently occurring situation of Rayleigh-distributed signals of unknown strength yields a recursive algorithm that can be easily implemented.
Keywords :
Adaptive methods; Bayes procedures; Gain control; Learning procedures; Adaptive control; Bayesian methods; Cost function; Dynamic range; Equations; Gain control; Programmable control; RF signals; Radar scattering; Signal processing;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1971.1054677
