关键词: 传感器坐标, 径向速度, 机动目标跟踪, Kalman滤波, 扩展量测

Abstract: Abstract: Literature [2,3] shows that the steady-state estimating accuracy and the constringency rate can been improved by using the rate measurement. Aiming at the practical application of tracking multi-targets, the rate measurement gotten by sonar or radar is a relative radial rate, cannot be used directly. In order to use the rate measurement, a new algorithm is developed in this paper for tracking multiple maneuvering targets in mix coordinate systems, in which the range rate measurement of maneuvering targets is used to estimate and predict the states of the targets. The linear measurement equation and the tracking arithmetic in mix coordinate system based on extend measurements are conducted. Some Monte Carlo simulations are performed based on the algorithm proposed in this paper. The result show that the algorithm can improve the steady-state estimating accuracy and the constringency rate.

Key words: sensor coordinates, radial rate, maneuvering targets tracking, Kalman filter, extend measurement