Accession Number : ADA325691

Title :   Algorithms for Digital Micro-Wave Receivers and Optimal System Identification.

Descriptive Note : Final technical rept.,

Corporate Author : WRIGHT STATE UNIV DAYTON OH

Personal Author(s) : Shaw, Arnab K.

PDF Url : ADA325691

Report Date : JAN 1997

Pagination or Media Count : 167

Abstract : The two primary directions considered in this research effort are, (1) Advanced signal processing algorithms for digital microwave receivers with Electronic Warfare applications: Significant contribution has been made on estimating the Angles of Arrival (AOA) or frequencies. Specifically, a computationally efficient and accurate Minimum Norm Method has been developed that does not require any Eigenanalysis. Theoretical Perturbation Analysis of this method has been completed. A Maximum Likelihood Estimator (MLE) that ensures unit circle frequencies has been developed. Furthermore, a new pipelined adaptive algorithm for Tracking moving targets has been presented. (2) Optimal identification of rational transfer functions: Unlike existing algorithms which either modify or linearize the error criterion, the true criteria have been decoupled into (a) a purely linear problem for numerator and (b) a nonlinear problem with reduced dimensionality for the denominator. The decoupled estimators possess global optimality properties but have reduced computational complexity than existing methods. The results on 1-D cases have been extended for identifying Multi-Dimensional systems. In addition, a new Distributed Look Ahead architecture and an Optimal Approximation Approach have been proposed for high speed implementation of Recursive Digital Filters.

Descriptors :   *SIGNAL PROCESSING, *DIGITAL FILTERS, *MICROWAVE RECEIVERS, ALGORITHMS, MAXIMUM LIKELIHOOD ESTIMATION, ANGLE OF ARRIVAL, EIGENVECTORS, MOVING TARGETS, MICROWAVES, NONLINEAR SYSTEMS, RECURSIVE FILTERS, MILITARY APPLICATIONS, PERTURBATIONS, TARGET DETECTION, ANALOG TO DIGITAL CONVERTERS, TIME DOMAIN, FREQUENCY DOMAIN, RATIONAL FUNCTIONS.

Subject Categories : Active & Passive Radar Detection & Equipment
      Radio Communications
      Military Operations, Strategy and Tactics

Distribution Statement : APPROVED FOR PUBLIC RELEASE