Title :
Reduced rank detection algorithms for distributed array sensors
Author :
Jung, Byung Wook ; Adve, Raviraj S. ; Chun, Joohwan
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., KAIST, Daejeon, South Korea
Abstract :
Distributed sensing systems provide an inherent spatial diversity by viewing a potential target from different aspect angles. Even though the centralized fully adapted processing scheme provides optimum performance, it is impractical for reasons of computational complexity and the sample support required for weight training. This paper presents two decentralized reduced rank STAP algorithms to overcome the drawbacks of centralized fully adapted processing.
Keywords :
computational complexity; distributed sensors; sensor arrays; computational complexity; decentralized reduced rank STAP algorithm; distributed array sensors; distributed sensing systems; optimum performance; reduced rank detection; spatial diversity; weight training; Apertures; Covariance matrix; Frequency diversity; Interference; Radar; Receivers; Signal to noise ratio;
Conference_Titel :
Waveform Diversity and Design Conference (WDD), 2010 International
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4244-8202-3
DOI :
10.1109/WDD.2010.5592364
