Adaptive linear-quadratic array for detection
- 4 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 2807-2810 vol.5
- https://doi.org/10.1109/icassp.1990.116209
Abstract
Results for an arbitrary linear-quadratic (LQ) array structure are presented. For this purpose, knowledge of the statistical properties of the noise up to the fourth order is needed. Unfortunately, in most situations of practical interest the latter information is not available a priori and must be estimated. Three adaptive algorithms which are extensions of the well-known sample matrix inversion (SMI), recursive matrix inversion (RMI), and Frost algorithms are then developed for the real-time computation of the optimal LQ array processor. The study of the numerical complexity of these algorithms is discussed.Keywords
This publication has 5 references indexed in Scilit:
- Optimal linear-quadratic array for detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A unifying and general approach to adaptive linear-quadratic discrete time Volterra filteringPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Linear-quadratic array processing for coherent sourcesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Optimum Arrays and the Schwartz InequalityThe Journal of the Acoustical Society of America, 1969
- Optimum Signal Processing of Three-Dimensional Arrays Operating on Gaussian Signals and NoiseThe Journal of the Acoustical Society of America, 1962