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Fast Fully Adaptive Processing: A Multistage STAP O. Saleh, R. S. Adve, and R. J. Riddolls
 

Summary: Fast Fully Adaptive Processing: A Multistage STAP
Approach
O. Saleh, R. S. Adve, and R. J. Riddolls
Research in Motion, 305 Philip Street, Waterloo, Ontario, Canada
Department of Elec. and Comp. Eng., University of Toronto, Toronto, Ontario, Canada
Defence Research and Development Canada-Ottawa, Ottawa, Ontario, Canada
email: oliver.saleh@gmail.com, rsadve@comm.utoronto.ca, Ryan.Riddolls@drdc-rddc.gc.ca
Abstract--Due to the associated computational load and re-
quired statistically homogeneous training, fully optimal space-
time adaptive processing (STAP) is well-accepted to be imprac-
tical. Previous work has addressed these issues by reducing the
adaptive degrees of freedom (DoF). In this paper we introduce
a new multistage STAP approach that significantly reduces
required sample support, and computational complexity, while
still processing all available DoF. The multistage "fast fully
adaptive" (FFA) scheme draws inspiration from the butterfly
structure of the Fast Fourier Transform (FFT). The reduction in
complexity and required sample support rival currently available
reduced DoF algorithms. We test the efficacy of this algorithm
using measured high frequency surface wave radar data.

  

Source: Adve, Raviraj - Department of Electrical and Computer Engineering, University of Toronto

 

Collections: Engineering