Title :
Beamspace array processing for moving sources
Author :
Yuanwei Jin;B. Friedlander
Author_Institution :
California Univ., Davis, CA, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
We consider a method for signal detection given a small number of data samples, such as in the case of tracking moving sources. By employing a linear transformation, we map the full dimension sensor space data onto a lower dimension space (beamspace) to lower the computation complexity and enhance the signal-to-interference-plus-noise ratio (SINR). The SINR of the beamspace MVDR beamformer is compared with that of diagonally loaded MVDR. Analysis and simulation show that the beamspace MVDR has better performance when the number of data samples is small.
Keywords :
"Array signal processing","Sensor arrays","Interference","Covariance matrix","Signal detection","Signal to noise ratio","Performance analysis","Motion detection","Motion analysis","Eigenvalues and eigenfunctions"
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Print_ISBN :
0-7803-7576-9
DOI :
10.1109/ACSSC.2002.1197302
