SPOC: An Innovative Beamforming Method

Abstract

The purpose of a radar or sonar system is to detect targets of interest. Beamforming plays a pivotal role in this task. Spatial Processing: Optimized and Constrained (SPOC) is an innovative front-end beamforming method that operates on array sensor data as an alternative to conventional or adaptive beamforming. It uses a maximum a posteriori approach to develop a constrained optimization solution. A parametric representation provides the framework for the solution presented here. We develop a recursive solution using past history. This method provides significantly improved resolution over conventional and adaptive beamforming. Three real data sets demonstrate these performance improvements.

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Document Details

Document Type
Technical Report
Publication Date
Dec 20, 2004
Accession Number
ADA433627

Entities

People

  • Benjamin Shapo
  • Roy Bethel

Organizations

  • General Dynamics Mission Systems

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Angle Of Arrival
  • Arrays
  • Broadband
  • Computations
  • Covariance
  • Data Displays
  • Data Science
  • Data Sets
  • Detection
  • Detectors
  • Far Field
  • Frequency
  • Markov Processes
  • Narrowband
  • Spectra

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Systems Analysis and Design