Title :
Analysis of modified SMI method for adaptive array weight control
Author :
Dilsavor, Ronald L. ; Moses, Randolph L.
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
fDate :
2/1/1993 12:00:00 AM
Abstract :
The authors characterize the performance of the diagonally loaded sample matrix inverse (SMI) algorithm versus the number K of snapshots used in the covariance matrix estimate by providing O(1/K) statistics (bias and variance) of the array weights, output powers, and output power ratios such as signal to interference noise ratio (SINR) and INR. The approach accommodates wideband signals. Monte Carlo simulations verify the theoretical analysis
Keywords :
Monte Carlo methods; array signal processing; matrix algebra; Monte Carlo simulations; O(1/K) statistics; adaptive array weight control; array weights; bias; covariance matrix estimate; diagonally loaded sample matrix inverse algorithm; output power ratios; output powers; signal to interference noise ratio; snapshots; variance; wideband signals; Adaptive arrays; Adaptive control; Covariance matrix; Interference; Power generation; Programmable control; Signal to noise ratio; Statistics; Weight control; Wideband;
Journal_Title :
Signal Processing, IEEE Transactions on
