Accession Number : ADA262154
Title : Ultra-Wideband Radar Transient Detection using Time-Frequency and Wavelet Transforms.
Descriptive Note : Master's thesis,
Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Personal Author(s) : Brooks, Jr, William A
Report Date : Dec 1992
Pagination or Media Count : 127
Abstract : Detection of weak ultra-wideband (UWB) radar signals embedded in non- stationary interference presents a difficult challenge. Classical radar signal processing techniques such as the Fourier transform have been employed with some success. However, time-frequency distributions or wavelet transforms in non- stationary noise appears to present a more promising approach to the detection of transient phenomena. In this thesis, analysis of synthetic signals and UWB radar data is performed using time-frequency techniques, such as the short time Fourier transform (STFT), the Instantaneous Power Spectrum and the Wigner-Ville distribution, and time-scale methods, such as the a trous discrete wavelet transform (DWT) algorithm and Mallat's DWT algorithm. The performance of these methods is compared and the characteristics, advantages and drawbacks of each technique are discussed.
Descriptors : *RADAR SIGNALS , *TARGET DETECTION , *BOATS , COMPUTER PROGRAMS , ALGORITHMS , SIGNAL PROCESSING , FREQUENCY , TRANSIENTS , DISTRIBUTION , THESES , RADAR , TIME , SCALE , SIGNALS , STATIONARY , INTERFERENCE , EMBEDDING , POWER , NOISE
Subject Categories : Marine Engineering
Active & Passive Radar Detection & Equipment
Distribution Statement : APPROVED FOR PUBLIC RELEASE