Student Paper 2.24
3-dimensional STAP performance analysis using the cross-spectral metric
Phillip M. Corbell - Air Force Institute of Technology, Todd B. Hale - Air Force Institute of Technology
Tue, 27 April 2004, 3:20 PM - 4:10 PM
Research done in recent years has clearly demonstrated large improvements in clutter suppression and target detection by including elevation adaptivity, otherwise described as 3-Dimensional (3D) STAP. This paper will further quantify the performance gains garnered by 3D STAP by fixing the Degrees Of Freedom (DOF) and varying the array dimensions, to include the equivalently sized linear array. The focus is placed on performance bounds established by matched filter and 3D Cross Spectral Metric (CSM) SINR curves generated with known covariances. The mathematical extension of the CSM from 2D to 3D is shown to be straightforward, thus allowing the CSM to serve as a partially adaptive performance bound for eigenvalue-selection based 3D STAP algorithms.
Capt. Phillip M. Corbell - Air Force Institute of Technology
Capt. Phillip M. Corbell graduated Suma Cum Laude from Southern Illinois University at Carbondale in 1998, earning a B.S.E.E. degree and an A.S. in Electronics Technology. Upon receiving his commission in the U.S. Air Force that same year, he was assigned to the Air Force Institute of Technology from which he graduated with a M.S.E.E. degree in March 2000 with an emphasis in communications and GPS. The Air Force made quick use of his GPS knowledge and thesis research by assigning him to the 746th Test Squadron, Holloman AFB, NM, as a Test Engineer in the Navigation, Test, and Evaluation Laboratory (NavTEL). After gaining experience in hardware-in-the-loop laboratory testing, he was directed to develop, test, and validate the squadron?s next generation laboratory test equipment as part of the Squadron?s Advanced Engineering Element, of which he later became Chief. The Air Force then selected Capt. Corbell to attend AFIT again to pursue a Ph.D. in Electrical Engineering. His current research interests are in the area of signal processing, to include STAP, anti-jam techniques, and waveform diversity. Email: Phillip.Corbell@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:email@example.com.