Procedures for Signal Reconstruction from Noisy Phase.

Abstract

In this paper a class of iterative procedures is presented for reconstructing a finite duration sequence from noisy samples of its Fourier transform phase. These measurement are combined with a knowledge of the true transform magnitude and/or hard constraints on the phase noise variations to define sets whose intersection must contain the true sequence. The algorithms iterate between the sequence domain and the transform domain applying the known constraints (i.e., finite duration and known limits on phase variation) in each domain. Results of an experimental investigation are presented. A method is described for the case where limits on both the magnitude and phase variation of a finite length sequence are known. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA142185

Entities

People

  • D. M. Thomas
  • M. H. Hayes

Organizations

  • Georgia Tech

Tags

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Classification
  • Contracts
  • Electrical Engineering
  • Engineering
  • Frequency
  • Identification
  • Intervals
  • Iterations
  • Measurement
  • Phase
  • Phase Measurement
  • Security
  • Sequences
  • Signal Processing

Fields of Study

  • Engineering

Readers

  • Calculus or Mathematical Analysis
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Radar Systems Engineering.