Active sensor radiation control based on posterior cramer-rao lower bound with passive measurement

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2 Scopus citations

Abstract

In this paper, the issue of active radar radiation control for target tracking is studied to improve the concealment of aircraft. Since too much emission will lead to our aircraft be locked in by enemy electronic support measures (ESM), radar emission should be as low as possible. To reduce the radar radiation, firstly, the problem is formulated and a multi-sensor fusion algorithm based on particle filter (PF) for synergy tracking is given. Then, a novel method combined posterior Cramer-Rao lower bound (PCRLB) with angle is proposed. It compares the angle measurement with the predicted value to determine whether the active sensor needs to be turned on, and then selects the sensor with PCRLB. Finally, simulation results show that the radiation times have obvious decrease, which demonstrates the validation of our proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of the 38th Chinese Control Conference, CCC 2019
EditorsMinyue Fu, Jian Sun
PublisherIEEE Computer Society
Pages3564-3570
Number of pages7
ISBN (Electronic)9789881563972
DOIs
StatePublished - Jul 2019
Externally publishedYes
Event38th Chinese Control Conference, CCC 2019 - Guangzhou, China
Duration: 27 Jul 201930 Jul 2019

Publication series

NameChinese Control Conference, CCC
Volume2019-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference38th Chinese Control Conference, CCC 2019
Country/TerritoryChina
CityGuangzhou
Period27/07/1930/07/19

Keywords

  • Multi-sensor Fusion
  • Particle Filter
  • Posterior Cramer-Rao Lower Bound
  • Radar Radiation Control
  • Target Tracking

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