@inproceedings{eef569f4e6344409bb9d8d31fe65b955,
title = "A nonlinear tracking algorithm with range-rate measurements based on unbiased measurement conversion",
abstract = "The three-dimensional CMKF-U with only position measurements is extended to solve the nonlinear tracking problem with range-rate measurements in this paper. A pseudo measurement is constructed by the product of range and rangerate measurements to reduce the high nonlinearity of the rangerate measurements with respect to the target state; then the mean and covariance of the converted measurement errors are derived by the measurement conditioned method, showing better consistency than the transitional nested conditioning method; finally, the sequential filter was used to process the converted position and range-rate measurements sequentially to reduce the approximation error in the second-order EKF. Monte Carlo simulations show that the performance of the new tracking algorithm is better than the traditional one based on CMKF-D.",
keywords = "measurements, nonlinear, range-rate, RCMKF-U, tracking, unbiased measurement conversion",
author = "Lianmeng Jiao and Quan Pan and Yan Liang and Feng Yang",
year = "2012",
language = "英语",
isbn = "9780982443859",
series = "15th International Conference on Information Fusion, FUSION 2012",
pages = "1400--1405",
booktitle = "15th International Conference on Information Fusion, FUSION 2012",
note = "15th International Conference on Information Fusion, FUSION 2012 ; Conference date: 07-09-2012 Through 12-09-2012",
}