rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Adaptive high-resolution sensor waveform design for tracking
  name:
    name part: Kyriakides, Ioannis.
    role:
      role term: creator
  name:
    name part: Morrell, Darryl.
  name:
    name part: Papandreou-Suppappola, Antonia.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: cau
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (viii, 101 pages) : illustrations
  abstract: Recent innovations in modern radar for designing transmitted waveforms, coupled with new algorithms for adaptively selecting the waveform parameters at each time step, have resulted in improvements in tracking performance. Of particular interest are waveforms that can be mathematically designed to have reduced ambiguity function sidelobes as their use can lead to an increase in the target state estimation accuracy Moreover, adaptively positioning the sidelobes can reveal weak target returns by reducing interference from stronger targets. The manuscript provides an overview of recent advances in the design of multicarrier phasecoded waveforms based on Bjorck constant-amplitude zero-autocorrelation (CAZAC) sequences for use in an adaptive waveform selection scheme for multiple target tracking. The adaptive waveform design is formulated using sequential Monte Carlo techniques that need to be matched to the highly resolution measurements. The work will be of interest to both practitioners and researchers in radar as well as to researchers in other applications where high resolution measurements can have significant benefits.
  table of contents: 1. Introduction -- Radar tracking with waveform design and waveform selection -- Review of advances in waveform design and adaptive waveform selection for radar target tracking -- Organization.
  note: Ioannis Kyriakides, Darryl Morrell, Antonia Papandreou-Suppappola.
  note: Electronic resource.
  note: Includes bibliographical references (pages 95-99).
  subject:
    topic: Sensor networks
    topic: Mathematical models
  subject:
    topic: Wave functions
    topic: Mathematical models
  subject:
    topic: Automatic tracking
  classification: TK7872.D48 K97 2011
  classification: 681.2
  related item:
    title info:
      title: Synthesis lectures on algorithms and software in engineering ; #4
  identifier: 9781608455775 (ebook)
  identifier: 1608455777 (ebook)
  identifier: 9781608455768 (paperback)
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AZS
    record creation date: 101206
    record change date: 20190329194005.0
    record identifier: in00002692758
    language of cataloging:
      language term: eng