THE DESIGN OF POINT-DETECTOR ARRAYS.

Abstract

This paper considers the design of a detection system to optimally detect known signal fields-scalar functions of a vector argument--corrupted by an additive noise field. The detection system has as its input N samples (in space) of the signal-plus-noise field; each spatial sample is the output of a point detector. In the system design, optimal processing of the point-detector outputs, as well as the locations of the point detectors, is considered. The optimal detector for a fixed point-detector array configuration forms a weighted sum of the point-detector outputs and then filters this sum. The probability of error is a monotonically decreasing function of the array gain, which is the sum of the elements in the inverse of the spatial covariance function. The primary application of this research is the design of seismometer arrays to detect and identify the P phase of seismic events. However, the results are applicable to many other electromagnetic and acoustical detection problems where the noise is primarily propagated rather than instrument. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1965
Accession Number
AD0466620

Entities

People

  • N. T. Gaarder

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Covariance
  • Data Science
  • Detection
  • Detectors
  • Information Processing
  • Information Science
  • Mathematics
  • Probability
  • Scalar Functions
  • Seismometers
  • Warning Systems

Readers

  • Approximation Theory.
  • Phased Array Antenna Design.
  • Statistical inference.

Technology Areas

  • Space
  • Space - Space Objects