Active LFM Mixer Adaptive (ALMA) Beamforming.

Abstract

This report describes the ALMA beamforming approach in detail. Results of simulations have been presented that demonstrate the algorithms can adapt to each range-resolution annulus (without time-averaging) and suppress sidelobe interference, while preserving signals in the intended look direction. Methods of implementing spatial-smoothing for both element- and beam-based adaptive algorithms have been covered, as well as methods of applying the approach to long arrays. Extensions of the approach to other array shapes and to replica-correlation-output beamforming have been discussed. ALMA beamforming reduces the signal from each range-resolution cell at each array element to a single phase and amplitude (accomplished by the mixer) and applies minimum- energy adaptive methods to these quantities to adapt (without time- or range- averaging) to the scatter distribution in each range-resolution annulus, This approach is an unique contribution to the field of adaptive beamforming for active signals. Based on results seen to date, ALMA beamforming offers the promise of increasing the effective array gain of modest-sized active receiving arrays to produce an effect equivalent to making the array several time larger

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1994
Accession Number
ADA278160

Entities

People

  • J. C. Lockwood

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acoustics
  • Active Sonar
  • Aircrafts
  • Algorithms
  • Amplitude
  • Bandwidth
  • Beam Forming
  • Beam Steering
  • Data Processing
  • Frequency
  • Frequency Shift
  • Military Research
  • Ocean Surveillance
  • Phase Shift
  • Sidelobes
  • Simulations
  • Surveillance

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.
  • Radar Systems Engineering.