Title :
Main-beam multi-target monopulse super-resolution
Author :
Fernández, Manuel ; Turner, Earl ; Yu, Kai-Bor
Author_Institution :
MS2, Lockheed Martin, Syracuse, NY, USA
Abstract :
Current monopulse radar does not resolve multiple sources within the main beam, a scenario that arises in a number of radar applications such as: ballistic missile defense, where the incoming missile complex consists of a large number of objects; air defense, where a detection may correspond to one or multiple targets; cruise missile defense for low angle target tracking in multipath; etc. This paper describes a super-resolution procedure designed for radar and EW applications requiring resolving multiple targets within the main beam given a single snapshot of array data. Our procedure enables the practical implementation of such super-resolution process by first forming multiple receive beams to provide data and degree-of-freedom reductions without significant information loss. Super-resolution is then achieved by applying matrix techniques to the beamspace data. The overall approach can be interpreted in terms of projecting sensor data into a compressed "information domain". In our particular application this results in a generalization of the monopulse processing scheme to the main-beam multi-target case.
Keywords :
matrix algebra; object detection; radar resolution; air defense; ballistic missile defense; beamspace data; compressed information domain; cruise missile defense; degree-of-freedom reductions; information loss; low angle target tracking; main-beam multitarget monopulse super-resolution process; matrix techniques; monopulse radar; multiple receive beams; multiple target detection; Array signal processing; Arrays; Discrete Fourier transforms; Matrix decomposition; Radar; Signal resolution; Spatial resolution;
Conference_Titel :
Radar Conference (RADAR), 2011 IEEE
Conference_Location :
Kansas City, MO
Print_ISBN :
978-1-4244-8901-5
DOI :
10.1109/RADAR.2011.5960578