Target tracking algorithm with range rate under the color measurement environment

Y. P. Dai, C. Z. Jin, J. L. Hu, K. Hirasawa, Z. Liu

Research output: Contribution to conferencePaper

14 Citations (Scopus)

Abstract

In this paper a new observation model is presented to improve the state estimation and prediction in a target tracking problem. Comparing with conventional approaches, the following are distinguished points of the approach. First, the measurement equation is set up in the polar coordinate and even combines the range rate measurement with the usual position measurements (i.e. range, azimuth, elevation angle, range rate). Second, the observation noise of sensor data is considered as a colored one, so new linear state and observation equation can be obtained by incorporating the noise vector into the state vector, which satisfy the requirement of Kalman filter. As a result, the accuracy of both the measurement and the prediction will be increased.

Original languageEnglish
Pages1145-1148
Number of pages4
Publication statusPublished - 1999 Dec 1
Externally publishedYes
EventProceedings of the 1999 38th SICE Annual Conference - Morioka, Jpn
Duration: 1999 Jul 281999 Jul 30

Other

OtherProceedings of the 1999 38th SICE Annual Conference
CityMorioka, Jpn
Period99/7/2899/7/30

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Target tracking algorithm with range rate under the color measurement environment'. Together they form a unique fingerprint.

  • Cite this

    Dai, Y. P., Jin, C. Z., Hu, J. L., Hirasawa, K., & Liu, Z. (1999). Target tracking algorithm with range rate under the color measurement environment. 1145-1148. Paper presented at Proceedings of the 1999 38th SICE Annual Conference, Morioka, Jpn, .