Study on radar data processing algorithm with improved kalman filter

Zhu Xinguo*, Hong Jie, Cui Wei

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

A data processing algorithm for the tracking and measurement radar is presented in this paper. The proposed algorithm uses a 3rd order improved Kalman filter to implement federal filter for the range and velocity measurements, which can stably track the range and velocity, and can also accurately estimate the acceleration; on the other hand, the proposed algorithm uses two 2nd order improved Kalman filters with the same structure to implement filters for the elevation angle measurements and the azimuth angle measurements respectively, which can effectively ensure the measurement accuracies of the angle and the angular velocity. The experimental results indicate that the proposed algorithm can attain high accuracy of tracking and measurement for the range and the velocity, and that it also has high tracking accuracy for static, uniform, uniformly accelerated angular motion.

Original languageEnglish
Title of host publication2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Pages3826-3829
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009 - Xi'an, China
Duration: 25 May 200927 May 2009

Publication series

Name2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009

Conference

Conference2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Country/TerritoryChina
CityXi'an
Period25/05/0927/05/09

Keywords

  • Kalman filter
  • Radar data processing
  • State noise estimation
  • Tracking and measurement

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