Pulse Compression Degradation Due to Open Loop Adaptive Cancellation. Part 1,

Abstract

Performance results for the sidelobe level of a compressed pulse that has been preprocessed through an adaptive canceller are obtained. The adaptive canceller is implemented using the Sampled Matrix Inversion (SMI) algorithm. Because of finite sampling, The quiescent compressed pulse sidelobe levels are degraded because of the preprocessing of the main channel input data stream (the uncompressed pulse) through an adaptive canceller. If N is the number of input canceller channels (main and auxiliaries) and K is the number of independent samples per channel, then it is shown that K/N can be significantly greater than one in order to retain sidelobes that are close to the original quiescent sidelobe level (with no adaptive canceller). Also, it is shown that the maximum level of degradation is independent of whether pulse compression occurs before or after the adaptive canceller if the uncompressed pulse is completely contained within the K samples that are used to calculate the canceller weights. Furthermore, this same analysis can be used to predict the canceller noise power level that is induced by having the desired signal present in the canceller weight calculation. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 31, 1991
Accession Number
ADA240552

Entities

People

  • Karl R. Gerlach

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Cancellation
  • Compression
  • Compressors
  • Cross Correlation
  • Data Science
  • Data Sets
  • Degradation
  • Detection
  • Filters
  • Matched Filters
  • Power Levels
  • Pulse Compression
  • Random Variables
  • Sampling
  • Sidelobes

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Phased Array Antenna Design.
  • Radar Systems Engineering.