Student Paper 2.22
An analysis of the effects of windowing on selected STAP algorithms

Bryan E. Smith - Air Force Institute of Technology, Todd B. Hale - Air Force Institute of Technology

Tue, 27 April 2004, 3:20 PM - 4:10 PM

Abstract

This work analyzes the effects of common data windows on STAP algorithms and the non-adaptive signal match processor. The windows are applied both to temporal and spatial dimensions. With the exception of factored approaches, it is shown that STAP algorithm performance decreases when windows are applied. Finally, a Monte Carlo analysis of Probability of Detection is performed on the best windowed/non-windowed combination from each technique evaluated. Because the covariance must be estimated, the results demonstrate that the windowed non-adaptive signal match processor can outperform partially adaptive STAP methods at normalized doppler between 0.25 to 0.75, while partially adaptive STAP algorithms perform significantly better than the windowed signal match processor closer to the clutter normalized doppler.

Bios

Lt Bryan Edward Smith, graduated Cum Laude with a Bachelor?s of Science degree in Electrical Engineering in 2000 from the University of Tennessee-Knoxville. Lt. Smith is currently attending the Air Force Institute of Technology and will graduate in March, 2003 with a Master?s of Science Degree in Electrical Engineering. Lt Smith first obtained engineering experience as a co-op developing instrumentation procedures for the Waterford 3 Nuclear Power Plant in New Orleans, LA in 1997. Lt Smith?s active duty USAF career began in August 2000 at the Air Force Information Warfare Center/453rd Electronic Warfare (EW) Squadron, where he oversaw and participated in the development and maintenance of EW system computer models for signal analysis. After graduation from AFIT, Lt. Smith has been selected to attend the USAF Test Pilot School (TPS) as a Flight Test Engineer. Lt Smith?s research interests include Statistical Signal Processing, Radar Signal Processing, and Electronic Warfare Signal Processing. Tel. 937-255-3636 (DSN 785-3636), email bryan.smith@afit.edu.

Dr. Todd B. Hale - Air Force Institute of Technology

Maj Todd B. Hale, PhD, Assistant Professor of Electrical Engineering, Department of Electrical and Computer Engineering, Air Force Institute of Technology, Wright-Patterson AFB, OH; BSEE, Milwaukee School of Engineering, Milwaukee, WI, 1993; MSEE, Air Force Institute of Technology, 1997; Ph.D., Air Force Institute of Technology, 2002. Dr. Hale?s research interests include adaptive and statistical signal processing for radar, space-time adaptive processing, radar interference modeling, image processing, automatic target recognition, and electronic warfare. As an AFIT Professor, Dr. Hale is responsible for the entire radar curriculum and serves as academic advisor to all students in this area. Tel. 937-255-3636, x4639 (DSN785-3636, x4639), email mailto:todd.hale@afit.edu.