### 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 language | English |
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Pages (from-to) | V-33 - V-38 |

Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |

Volume | 5 |

Publication status | Published - Dec 1 1999 |

Externally published | Yes |

Event | 1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn Duration: Oct 12 1999 → Oct 15 1999 |

### Fingerprint

### All Science Journal Classification (ASJC) codes

- Control and Systems Engineering
- Hardware and Architecture

### Cite this

*Proceedings of the IEEE International Conference on Systems, Man and Cybernetics*,

*5*, V-33 - V-38.

**Use of pseudo measurement to real-time target tracking.** / Dai, Yaping; Hirasawa, Kotaro; Murata, Junichi; Hu, Jinglu; Jin, Chunzhi; Liu, Zhen.

Research output: Contribution to journal › Conference article

*Proceedings of the IEEE International Conference on Systems, Man and Cybernetics*, vol. 5, pp. V-33 - V-38.

}

TY - JOUR

T1 - Use of pseudo measurement to real-time target tracking

AU - Dai, Yaping

AU - Hirasawa, Kotaro

AU - Murata, Junichi

AU - Hu, Jinglu

AU - Jin, Chunzhi

AU - Liu, Zhen

PY - 1999/12/1

Y1 - 1999/12/1

N2 - 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 θa, elevation θe 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.

AB - 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 θa, elevation θe 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.

UR - http://www.scopus.com/inward/record.url?scp=0033315639&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033315639&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0033315639

VL - 5

SP - V-33 - V-38

JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

SN - 0884-3627

ER -