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.

Report Date:

1997-04-01

Pagination or Media Count:

154.0

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 and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE