### 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 language | English |
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Title of host publication | Proceedings of the SICE Annual Conference |

Place of Publication | Tokyo, Japan |

Publisher | Society of Instrument and Control Engineers (SICE) |

Pages | 1145-1148 |

Number of pages | 4 |

Publication status | Published - 1999 |

Externally published | Yes |

Event | Proceedings of the 1999 38th SICE Annual Conference - Morioka, Jpn Duration: 1999 Jul 28 → 1999 Jul 30 |

### Other

Other | Proceedings of the 1999 38th SICE Annual Conference |
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City | Morioka, Jpn |

Period | 99/7/28 → 99/7/30 |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*Proceedings of the SICE Annual Conference*(pp. 1145-1148). Tokyo, Japan: Society of Instrument and Control Engineers (SICE).

**Target tracking algorithm with range rate under the color measurement environment.** / Dai, Y. P.; Jin, C. Z.; Furuzuki, Takayuki; Hirasawa, K.; Liu, Z.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the SICE Annual Conference.*Society of Instrument and Control Engineers (SICE), Tokyo, Japan, pp. 1145-1148, Proceedings of the 1999 38th SICE Annual Conference, Morioka, Jpn, 99/7/28.

}

TY - GEN

T1 - Target tracking algorithm with range rate under the color measurement environment

AU - Dai, Y. P.

AU - Jin, C. Z.

AU - Furuzuki, Takayuki

AU - Hirasawa, K.

AU - Liu, Z.

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0033353836&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033353836&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0033353836

SP - 1145

EP - 1148

BT - Proceedings of the SICE Annual Conference

PB - Society of Instrument and Control Engineers (SICE)

CY - Tokyo, Japan

ER -