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A Velocity Filtering Method for Track-Before-Detect with Multiple Sensors

  • Tao Han
  • , Liangliang Wang
  • , Gongjian Zhou*
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Ministry of Industry and Information Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Detecting and tracking weak targets with multiple sensors performs superiorly to that with a single sensor. In this paper, a multi-sensor velocity filter based track-before-detect (MS-VF-TBD) method in mixed coordinates is proposed for weak target detection. First, the predicted position in the global Cartesian coordinates of each cell of each sensor is achieved in terms of the assumed velocity and the position in Cartesian coordinates which is converted by the cell in sensor coordinates. Then the measurement of the cell is added onto the cell closest to the predicted position converting back to the global sensor coordinates to realize the process of target energy integration within multiple sensors. The energy accumulation procedure of multiple sensors is derived in detail. Simulation results demonstrate the superiority of the proposed method compared with other MS-TBD methods in terms of detection probability and estimation accuracy.

Original languageEnglish
Title of host publicationICCAIS 2019 - 8th International Conference on Control, Automation and Information Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728123110
DOIs
StatePublished - Oct 2019
Event8th International Conference on Control, Automation and Information Sciences, ICCAIS 2019 - Chengdu, China
Duration: 23 Oct 201926 Oct 2019

Publication series

NameICCAIS 2019 - 8th International Conference on Control, Automation and Information Sciences

Conference

Conference8th International Conference on Control, Automation and Information Sciences, ICCAIS 2019
Country/TerritoryChina
CityChengdu
Period23/10/1926/10/19

Keywords

  • Multiple sensors
  • Track-before-detect
  • Velocity filtering
  • Weak target detection

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