期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
A Tracking Filter in Spherical Coordinates Enhanced by De-noising of Converted Doppler Measurements 被引量:2
1
作者 ZHOU Gongjian YU Changjun +1 位作者 CUI Naigang QUAN Taifan 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2012年第5期757-765,共9页
Tracking problem in spherical coordinates with range rate (Doppler) measurements, which would have errors correlated to the range measurement errors, is investigated in this paper. The converted Doppler measurements... Tracking problem in spherical coordinates with range rate (Doppler) measurements, which would have errors correlated to the range measurement errors, is investigated in this paper. The converted Doppler measurements, constructed by the product of the Doppler measurements and range measurements, are used to replace the original Doppler measurements. A de-noising method based on an unbiased Kalman filter (KF) is proposed to reduce the converted Doppler measurement errors before updating the target states for the constant velocity (CV) model. The states from the de-noising filter are then combined with the Cartesian states from the converted measurement Kalman filter (CMKF) to produce final state estimates. The nonlinearity of the de-noising filter states are handled by expanding them around the Cartesian states from the CMKF in a Taylor series up to the second order term. In the mean time, the correlation between the two filters caused by the common range measurements is handled by a mini- mum mean squared error (MMSE) estimation-based method. These result in a new tracking filter, CMDN-EKF2. Monte Carlo simulations demonstrate that the proposed tracking filter can provide efficient and robust performance with a modest computa- tional cost. 展开更多
关键词 target tracking converted doppler range rate NONLINEAR Kalman filtering
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部