Algorithms for Digital Micro-Wave Receivers & Optimal System Identification
Abstract
According to the original Project Proposla, the tow 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 (1) a purely linear problem for numerator and (2) a nonlinear problem with reduced dimensionality for the denominator. the decoupled estimators possess global optimality properties buth have reduced computational complexity than existing methods. The results on 1-D cases have been extended for idtntifying 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 Ditigal Filters.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 23, 1997
- Accession Number
- ADA332411
Entities
People
- Arnab Shaw
Organizations
- Wright State University