Alternative Solutions for Hilbert Filtering in a Pulse Compression Radar

Abstract

Digital radar signal processing is usually done on sampled data in a complex format. This complex form can be obtained by using a Hilbert transformer on real data. Very often, the processing stage following the conversion to complex data is pulse compression. In this case, the operations normally performed by the Hilbert filter can be incorporated in the pulse compression. Three methods for doing this have been devised, and their relative merits investigated. The first of these results in the most straightforward implementation, the second is more efficient in terms of required hardware, and the third is most suitable for adaptive applications (i.e. applications in which a new reference spectrum has to be determined relatively often). The arithmetical efficiency of all three solutions is about the same, and practically equal to that of pulse compression alone. Moreover, all three solutions can cope with high relative signal bandwidths, close to 100%. Keywords: Netherlands.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1989
Accession Number
ADA217928

Entities

People

  • M. P. Otten

Organizations

  • Netherlands Organisation for Applied Scientific Research

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Amplitude
  • Bandwidth
  • Compression
  • Compressors
  • Computer Vision
  • Efficiency
  • Electronics Laboratories
  • Filters
  • Filtration
  • Fourier Transformation
  • Frequency
  • Frequency Domain
  • Leading Edges
  • Pulse Compression
  • Signal Processing
  • Time Domain

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Programming and Software Development.
  • Radar Systems Engineering.