Title :
Variance estimation for a radar tracking system
Author :
Yao, Jianping ; Chin, Leonard
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
In this paper, an approach for the estimation of the variance Q and R of the process noise W(k) and the measurement noise V(k) for radar tracking systems is presented. In the proposed algorithm, the variance Q and R are expressed as a linear combination of the covariances of the third-order difference of the measurement data. The variances can then be calculated by simply solving the matrix equation. The two cases for the measurement noise being white and color are considered in this algorithm. Simulation results showed that for both cases the steady estimation is reached after 20 samples
Keywords :
Kalman filters; filtering theory; matrix algebra; noise; radar tracking; target tracking; Kalman filter; color noise; matrix algebra; measurement noise; process noise; radar tracking system; variance estimation; white noise; Acceleration; Accelerometers; Equations; Filtering; Kalman filters; Noise measurement; Q measurement; Radar tracking; Technological innovation; Time measurement;
Conference_Titel :
Information, Decision and Control, 1999. IDC 99. Proceedings. 1999
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5256-4
DOI :
10.1109/IDC.1999.754183