Accession Number : ADA326298
Title : Multidisciplinary Research on Advanced, High-Speed, Adaptive Signal Processing for Radar Sensors.
Descriptive Note : Final technical rept. Jan 95-Sep 96,
Corporate Author : UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES DEPT OF ELECTRICAL ENGINEERING
Personal Author(s) : Reed, Irving ; Nikias, Chrysostomos L. ; Prasanna, Viktor K.
PDF Url : ADA326298
Report Date : APR 1997
Pagination or Media Count : 154
Abstract : This report addresses two major components of research for high speed, spacetime adaptive processing (STAP) for radar sensors, namely (1) the development of advanced algorithms for detection and parameter estimation of weak targets in the presence of jamming and clutter, and (2) the mapping of the algorithms onto massively parallel computing architectures for high speed implementation. First, advances in detection and estimation for STAP applications are achieved using joint Gaussian statistics. A cross spectral method, an optimal technique for reduced-rank STAP, and a simultaneous CFAR detection and maximum likelihood estimation STAP algorithm for airborne radar is introduced. Secondly, this report discusses new methods for parameter estimation with symmetric alpha-stable distributions and fractional lower-order moments. A Cauchy beamformer is proposed, along with a new joint spatial and Doppler frequency, high resolution estimation technique based on eigen-decomposition of the convariance matrix. Finally, this report investigates the issue of mapping the above signal processing algorithms to scaleable, portable, parallel implementations.
Descriptors : *SIGNAL PROCESSING, *ADAPTIVE SYSTEMS, *RADAR SIGNALS, ALGORITHMS, OPTIMIZATION, PARAMETERS, HIGH VELOCITY, MAXIMUM LIKELIHOOD ESTIMATION, AIRBORNE, COMPUTER ARCHITECTURE, PARALLEL PROCESSING, HIGH RESOLUTION, ESTIMATES, COSTS, CODING, BEAM FORMING, RADAR RECEIVERS, MAPPING, RADAR TARGETS, RADAR JAMMING, LOW STRENGTH, CAUCHY PROBLEM.
Subject Categories : Active & Passive Radar Detection & Equipment
Distribution Statement : APPROVED FOR PUBLIC RELEASE