A Generalized Inner Product Based Algorithm for Improved Detection and Discrimination of Over Resolved Targets in MIMO Radar
Conference: EUSAR 2010 - 8th European Conference on Synthetic Aperture Radar
06/07/2010 - 06/10/2010 at Aachen, Germany
Proceedings: EUSAR 2010
Pages: 4Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Wicks, Michael C. (AFRL Sensors Directorate, Rome, NY 13441, USA)
Zhang, Yuhong; Schneible, Richard (Stiefvater Consultants, Rome, NY 13441, USA)
A technique is proposed to achieve significantly better detection and discrimination for stationary or slow-moving range-Doppler over-resolved targets on or in close proximity to the ground (or sea surface). This technique is based upon a generalized inner product (GIP) approach to data analysis. This robust detector/discriminator separates radar returns from interference including ground clutter via a coherent process for separating target returns from the myriad of received signals. This GIP-based processing can be applied to single-receiver channel systems, multiple spatial channel systems, multiple polarization channel systems, systems with multiple spatial and polarization channels and MIMO distributed aperture radar.