Single-Station Passive Tracking Algorithm for Joint Azimuth and Doppler Frequency

Yate Zhang, Chundong Qi, Xuanyi Gao

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

1 Citation (Scopus)

Abstract

Given that Bearing-Only the location algorithm is time-consuming, not strictly accurate and can-not work in real-time when facing targets at a constant speed along a straight line in two dimension. So this paper proposes a combined radiation target Doppler frequency information and adopts the square root central difference Kalman Filter (SRCDKF) algorithm in a bid to achieve effective tracking and positioning of the system. The simulation results show that the proposed algorithm in the system model solves the problem that extended Kalman filter (EKF) and Particle Filter (PF) algorithms can-not converge and performs well in filtering accuracy, convergence, and stability.

Original languageEnglish
Title of host publicationProceedings of the 2020 5th International Conference on Multimedia Systems and Signal Processing, ICMSSP 2020
PublisherAssociation for Computing Machinery
Pages81-85
Number of pages5
ISBN (Electronic)9781450377485
DOIs
Publication statusPublished - 28 May 2020
Event5th International Conference on Multimedia Systems and Signal Processing, ICMSSP 2020 - Chengdu, China
Duration: 28 May 202030 May 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on Multimedia Systems and Signal Processing, ICMSSP 2020
Country/TerritoryChina
CityChengdu
Period28/05/2030/05/20

Keywords

  • Doppler frequency
  • SRCDKF filter
  • target tracking

Fingerprint

Dive into the research topics of 'Single-Station Passive Tracking Algorithm for Joint Azimuth and Doppler Frequency'. Together they form a unique fingerprint.

Cite this