2004 IEEE Radar Conference

Innovative Radar Technologies - Expanding System Capabilities

 
 
 April 26-29, 2004 Wyndham Philadelphia at Franklin Plaza Philadelphia, Pennsylvania
 
 
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Poster 4.8
Efficient exhaustive search for optimal-PSL binary codes

Gregory E. Coxson - Lockheed Martin MS2, Jon C. Russo - Lockheed Martin ATL

Wed, 28 April 2004, 3:20 PM - 4:10 PM


Abstract

This paper describes an exhaustive search for minimum Peak Sidelobe Level (PSL) binary codes, combining several devices for efficiency. These include combinatoric tree search techniques, the use of PSL-preserving symmetries to reduce search space, data representations and operations for fast sidelobe computation, and a partitioning scheme for parallelism. All balanced 64-bit minimum PSL codes are presented, and the upper limit on known consecutive lengths to have PSL=4 codes is extended to 70.

Bios

Dr. Gregory E. Coxson - Lockheed Martin MS2

Radar Systems Engineer at Lockheed Martin MS2 since 1996, involved in ECM, pulse compression, ship-based missile defense and other radar modes. Engineer at Hughes Radar Systems in El Segundo, CA from 1994 to 1996, supporting the F15 and B2 radar programs. PhD EE from the University of Wisconsin at Madison, 1993. Masters degrees in EE (1989) and Mathematics (1987), also from UW - Madison. Analyst at the Center for Naval Analysis in Alexandria, VA, 1980-1983.

Mr. Jon C. Russo - Lockheed Martin ATL

Jon C. Russo, was born in Geneva, NY. Jon graduated with distinction from the Cornell University School of Electrical Engineering and completed a Masters in Engineering in 1993. While there, Jon was a teaching assistant for electronic design lab and other programs. Jon went on to join the research team at Lockheed Martin Advanced Technology Labs, where he has worked in singal processing, radar, hardware design, and reconfigurable computing and compiler technologies. Research interests include cognitive architectures, radar and communications processing.

 
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