Title :
A low-complexity MVDR beamformer for use with short observation times
Author_Institution :
St. Mary´´s Univ., Halifax, NS, Canada
fDate :
4/1/1999 12:00:00 AM
Abstract :
It is demonstrated, via simulation examples, that the steered, minimum-variance, subarray beamformer is a simple, viable, and computationally efficient approach to partially adaptive beamforming, with the additional advantage that it is available for use with short observation intervals where time is traded for bandwidth. A quadratically constrained version is also examined
Keywords :
array signal processing; covariance matrices; adaptive beamforming; bandwidth; computationally efficient approach; covariance matrix; low-complexity MVDR beamformer; minimum-variance beamformer; quadratically constrained beamformer; short observation intervals; short observation times; simulation; steered subarray beamformer; Acoustic arrays; Adaptive arrays; Array signal processing; Bandwidth; Computational modeling; Covariance matrix; Frequency; Geometry; Niobium; Sensor arrays;
Journal_Title :
Signal Processing, IEEE Transactions on
