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Sequential unscented Kalman Filter for radar target tracking with range rate measurements

  • University of New Orleans
  • Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

60 引用 (Scopus)

摘要

To solve the radar target tracking problem with range rate measurements, in which the errors between range and range rate measurements are correlated, a sequential Unscented Kalman filter (SUKF) is proposed in this paper. A pseudo measurement is constructed by block-partitioned Cholesky factorization first, this can keep the range, bearing and elevation (or two direction cosine) measurements unchanged, while the errors between the original range and range rate measurement are decorrelated; then based on the UKF, the bearing, elevation (or two direction cosine) and the pseudo measurement are sequentially processed to enhance the filtering precision and the computational efficiency simultaneously. Validity and consistency of the new proposed algorithm is verified by Monte-Carlo simulation.

源语言英语
主期刊名2005 7th International Conference on Information Fusion, FUSION
出版商IEEE Computer Society
130-137
页数8
ISBN(印刷版)0780392868, 9780780392861
DOI
出版状态已出版 - 2005
活动2005 8th International Conference on Information Fusion, FUSION - Philadelphia, PA, 美国
期限: 25 7月 200528 7月 2005

出版系列

姓名2005 7th International Conference on Information Fusion, FUSION
1

会议

会议2005 8th International Conference on Information Fusion, FUSION
国家/地区美国
Philadelphia, PA
时期25/07/0528/07/05

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