Accession Number : ADA259331
Title : New Methods for Nonlinear Tracking and Nonlinear Chaotic Signal Processing
Descriptive Note : Final rept.
Corporate Author : NORTHWEST RESEARCH ASSOCIATES INC BELLEVUE WA
Personal Author(s) : Wright, Jon A
Report Date : 18 Dec 1992
Pagination or Media Count : 36
Abstract : The classic problem in signal processing is to identify a low strength signal in a noisy background. Even more difficult problems are to identify several signals in the noisy background, to determine the direction of the sources, and to track one or more of these multiple sources. In the next section we will give an overview of the techniques that we have developed for nonlinear signal identification. In the third section we will provide the details. In the fourth section we will give an overview of our nonlinear tracking methods, and in the fifth section we will give the details of the design of an array suitable for use with broadband signals. In the sixth section we will present the details of our nonlinear tracking algorithm for following a maneuvering vehicle. Classical, linear theory has been used extensively in solving these problems. However, if the signals have a broad frequency spectrum with no readily identifiable characteristics, standard spectral methods are inadequate. In Phase I, we have built upon some results of nonlinear dynamics to develop nonlinear algorithms to solve these problems, namely: (1) Classify sources of multiple signals in a noisy environment; (2) Determine the source direction if the receiver is an array; and (3) Perform tracking of a maneuvering vehicle.
Descriptors : *SIGNAL PROCESSING , FREQUENCY , DENSITY , GAUSSIAN NOISE , TRACKING , SPECTRA , NONLINEAR ANALYSIS , AMPLITUDE , BACKGROUND NOISE
Subject Categories : Miscellaneous Detection and Detectors
Distribution Statement : APPROVED FOR PUBLIC RELEASE