Multi-Sensor ELINT Development (MSED)

Abstract

New geolocation methods are needed that will allow accurate location of LPI emitters despite low signal-to-noise ratio (SNR) and multipath propagation. To address this recent work has provided a single-stage localization method called Direct Position Determination (DPD). However, all its computation is concentrated at one computing node. We developed several methods to remedy this problem. To provide even better performance in these challenging real-world scenarios we developed a one-stage TDOA/FDOA localization method based on spatial sparsity of emitters. The proposed sparsity-based method has better performance (especially in multi-path and multi-emitter cases) compared to direct position determination (DPD) and two-stage Classic localization methods.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2012
Accession Number
ADA563090

Entities

People

  • Mark Fowler

Organizations

  • Binghamton University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Bandwidth
  • Compression Ratio
  • Computational Complexity
  • Computations
  • Computer Simulations
  • Data Compression
  • Detectors
  • Doppler Effect
  • Electronically Scanned Array
  • Geolocation
  • Multipath Transmission
  • Radio Frequency
  • Sensor Networks
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Neural Network Machine Learning.
  • Radar Systems Engineering.
  • Sensor Fusion and Tracking Systems.