Alias-Free Wigner Distribution Function and Complex Ambiguity Function for Discrete-Time Samples

Abstract

If an arbitrary complex continuous waveform s(t) with finite overall frequency extent F Hertz is sampled with time increment Delta < 1/F, the aliasing can be controlled and the continuous time waveform s(t) reconstructed exactly at any desired time instant from waveform samples <s(kDelta)>. On the other hand, it is commonly believed that aliasing of the corresponding Wigner distribution function (WDF) can only be avoided by sampling twice as fast; i.e., Delta < 1/(2F) is thought to be required. Alternatively, interpolation of the time data has been suggested as a means of circumventing aliasing of the WDF; however, the computational burden has proven excessive if done by sinc function interpolation. It is demonstrated here that this conjecture is false, and that the usual sampling criterion, Delta < 1/F, suffices for exact reconstruction of the original continuous WDF, as well as the complex ambiguity function (CAF), at all time, frequency locations, without an excessive amount of computational effort. Keywords: Interspersed aliasing lobes; Temporal correlation; Spectral correlation; Ambiguity function; Aliasing elimination; Discrete time sampling; Wigner distribution; Bandlimited spectrum; Diamond gating function; Interspersed sampling.

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Document Details

Document Type
Technical Report
Publication Date
Apr 14, 1989
Accession Number
ADA211050

Entities

People

  • Albert H. Nuttall

Organizations

  • Naval Underwater Systems Center

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Ambiguity
  • Canada
  • Coast Guard
  • Continuous Spectra
  • Data Processing
  • Distribution Functions
  • Frequency
  • Frequency Domain
  • Frequency Shift
  • Integrals
  • New Zealand
  • Security
  • Signal Processing
  • Spectra
  • Time Domain
  • Two Dimensional
  • Universities

Fields of Study

  • Engineering

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Approximation Theory.