Title :
Parallel algorithms for space-time adaptive processing
Author :
Olszanskyj, Serge J. ; Lebak, J.M. ; Bojanczyk, Adam W.
Author_Institution :
Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
Abstract :
We examine the signal processing problem of space-time adaptive processing (STAP) from a computational point of view. Specifically, we implement an STAP algorithm on the IBM PowerParallel SP1 computer. The two main challenges are solving multiple least squares problems simultaneously and finding an efficient way of implementing multiple computational steps that demand different optimal data distributions in parallel. The effectiveness of our implementation is demonstrated with experimental results
Keywords :
adaptive signal processing; least squares approximations; parallel algorithms; parallel machines; IBM PowerParallel SP1 computer; multiple computational steps; optimal data distributions; parallel algorithms; signal processing problem; simultaneous multiple least squares problem solving; space-time adaptive processing; Adaptive filters; Adaptive signal processing; Aircraft; Application software; Data analysis; Delay; Filtering; Least squares methods; Parallel algorithms; Signal processing algorithms;
Conference_Titel :
Parallel Processing Symposium, 1995. Proceedings., 9th International
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-7074-6
DOI :
10.1109/IPPS.1995.395917
