Exact solution for control loop adaptive antenna weights in bandlimited noise
Abstract
A technique is presented that yields exact solutions for the noise analysis of the Applebaum adaptive algorithm. Past researchers have derived results under the assumption that the input noise is rapidly varying with respect to the output weighting vector of the Applebaum algorithm. In this paper, this work has been extended to include noise that can vary at any rate. External noise sources are modeled as continuous state jump Markov processes which results in exact first moment equations for the weighting vector that are solvable. Specifically, the case where the adaptive algorithm is subjected to a single external noise source is examined in detail. Results in adaptive processing convergence times and average null depth are presented.
 Publication:

IEEE Transactions on Antennas and Propagation
 Pub Date:
 March 1986
 DOI:
 10.1109/TAP.1986.1143822
 Bibcode:
 1986ITAP...34..395G
 Keywords:

 Adaptive Control;
 Antenna Arrays;
 Linear Arrays;
 Markov Processes;
 Random Noise;
 Signal To Noise Ratios;
 Algorithms;
 Antenna Components;
 Clutter;
 Covariance;
 Differential Equations;
 Matrices (Mathematics);
 Communications and Radar