Bearings Only Tracking with Fusion from Heterogenous Passive Sensors: ESM/EO and Acoustic

Abstract

The performance of the conventional bearings-only tracking (BOT) from a single passive sensor largely depends on the sensor platform maneuvers. This paper presents a new BOTapproach based on fusion from two heterogenous bearings-only sensors residing on the same moving or stationary platform. The two sensors are an ESM/EO with negligible propagation delay and an acoustic sensor with significant propagation delay. Since target range information is contained in the acoustic propagation delay, the problem is therefore observable even when the platform is stationary. An out-of-sequence measurement fusion from the acoustic and ESM/EO sensors (OOSM-AE) is developed to estimate the target trajectory. It consists of an unscented Kalman filter (UKF) to handle in-sequence ESM/EO measurements and an OOSM unscented Gauss-Helmert filter (OOSM-UGHF) to handle out-of-sequence acoustic measurements. Simulation tests are conducted to demonstrate the performance of this new BOTapproach.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2017
Accession Number
AD1027433

Entities

People

  • Gee Ng
  • Rong Yang
  • Yaakov Bar-Shalom

Organizations

  • University of Connecticut

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Acoustic Detectors
  • Acoustic Emissions
  • Acoustic Measurement
  • Acoustic Propagation
  • Acoustic Signals
  • Algorithms
  • Detection
  • Detectors
  • Electro-Optical Sensors
  • Emission
  • Filters
  • Kalman Filters
  • Measurement
  • Moving Targets
  • Passive Sensors
  • Simulations

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