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


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a262154.pdf


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