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 |
|---|---|
| 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 |
|---|---|
| City | Morioka, Jpn |
| Period | 99/7/28 → 99/7/30 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Target tracking algorithm with range rate under the color measurement environment. / Dai, Y. P.; Jin, C. Z.; Furuzuki, Takayuki; Hirasawa, K.; Liu, Z.
Proceedings of the SICE Annual Conference. Tokyo, Japan : Society of Instrument and Control Engineers (SICE), 1999. p. 1145-1148.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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 -