Beamforming Pre-Processors for High Discrimination Algorithms

Abstract

High discrimination algorithms based on numerical techniques such as eigen analysis are currently being considered for use in future antenna array systems. In addition to being computationally expensive, such algorithms are only able to achieve significantly enhanced within-beam resolution at high signal to noise ratios. However, if the detected signals are found only within a limited frequency range of region of space, or if the data is oversampled, a pre-processing transform may be applied to the data. This leads to a reduction in the size of the data matrix, enables subsequent processing to be accelerated, and lowers the threshold signal to noise ratio required for within-beam resolution. In the spatial domain, the pre-processor is a beamformer. A previous memo has shown how this may be designed using singular vectors of the array calibration matrix. In the current document it is demonstrated by Monte Carlo trials that similar results may be obtained using a conventional beamformer. Great Britain.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1989
Accession Number
ADA213420

Entities

People

  • J. L. Mather

Organizations

  • Royal Signals and Radar Establishment

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Antenna Arrays
  • Antennas
  • Arrays
  • Beam Steering
  • Bias
  • Covariance
  • Data Analysis
  • Data Science
  • Detection
  • False Alarms
  • Information Science
  • Linear Arrays
  • Load Monitoring
  • Monte Carlo Method
  • Simulations
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Phased Array Antenna Design.
  • Radio communications and signal processing.
  • Regression Analysis.

Technology Areas

  • Space
  • Space - Space Objects