Student Paper 2.21
Steering vector mismatch: analysis and reduction
Jonathan E. Luminati - Air Force Institute of Technology, Todd B. Hale - Air Force Institute of Technology
Tue, 27 April 2004, 3:20 PM - 4:10 PM
In adaptive radar systems, optimal processing for target detection is only possible when the target location in angle and doppler is used to build the processing filter. When this location is not exact, losses occur. These losses translate into a reduction in detection probability. After development of analytical expressions to quantify the effects of this mismatch, two techniques are examined for reducing these effects. These techniques are tested against losses due to doppler mismatch. The first technique involves the use of temporal windows and reduces mismatch losses at the expense of reducing the overall Signal-to-Interference plus Noise Ratio (SINR) of the target. The second technique involves the use of additional filters, and achieves a reduction in mismatch losses without sacrificing maximum SINR. A brief overview of the problems associated with multidimensional (angle and doppler) mismatch is also
Mr. Jonathan E. Luminati - Air Force Institute of Technology
Capt. Jonathan E. Luminati (S?03) received the B.S. (Magna Cum Laude) and M.Eng. degrees from Cornell University in 1998 and 1999 respectively, both in electrical engineering. His first active duty USAF assignment brought him to the Air Force Research Laboratory in Albuquerque, NM where he worked in both the Space Vehicles and Directed Energy directorates. Much of his work there focused on countermeasure development for various military systems. Capt. Luminati is currently pursuing the Ph.D. degree at the Air Force Institute of Technology. His research interests include synthetic aperture radar, tomographic imaging, and adaptive signal processing. He is a member of both Tau Beta Phi and Eta Kappa Nu. Email: firstname.lastname@example.org.
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.