Algorithms for Digital Micro-Wave Receivers and Optimal System Identification.
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1997
- Accession Number
- ADA325691
Entities
People
- Arnab K. Shaw
Organizations
- Wright State University