Use of pseudo measurement to real-time target tracking

Yaping Dai, Kotaro Hirasawa, Junichi Murata, Takayuki Furuzuki, Chunzhi Jin, Zhen Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, a pseudo measurement model is adopted to deal with the Kalman filter problem with color measurement noise. It is assumed that the measurement noise is color, and be described by AR(n) model. The state equation is set up according to Singer's model. The measurement equation is set up in polar coordinate and the range rate measurement is combined with ordinary data (i.e. there are four measurement data now: range r, azimuth θ a, elevation θ e and range rate r). By means of proper coordinate transformation, the matrix of Kalman gain and the matrix of filter error covariance will be decoupled. So that the computing requirement of the algorithm will be reduced and can be performed in real time.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
PublisherIEEE
Volume5
Publication statusPublished - 1999
Externally publishedYes
Event1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn
Duration: 1999 Oct 121999 Oct 15

Other

Other1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics'
CityTokyo, Jpn
Period99/10/1299/10/15

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ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

Dai, Y., Hirasawa, K., Murata, J., Furuzuki, T., Jin, C., & Liu, Z. (1999). Use of pseudo measurement to real-time target tracking. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (Vol. 5). IEEE.