Optimal Trajectory Analysis for the Receiver of Passive Location Systems Using Direction Of Arrival and Doppler Measurements

Li Wan-chun; Huang Cheng-feng

doi:10.12000/JR14118

Volume 3 Issue 6

Jan. 2015

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Abstract

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HUA Wenqiang, WANG Shuang, GUO Yanhe, et al. Semi-supervised PolSAR image classification based on the neighborhood minimum spanning tree[J]. Journal of Radars, 2019, 8(4): 458–470. doi: 10.12000/JR18104

Citation:

Li Wan-chun, Huang Cheng-feng. Optimal Trajectory Analysis for the Receiver of Passive Location Systems Using Direction Of Arrival and Doppler Measurements[J]. Journal of Radars, 2014, 3(6): 660-665. doi: 10.12000/JR14118

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Optimal Trajectory Analysis for the Receiver of Passive Location Systems Using Direction Of Arrival and Doppler Measurements

DOI: 10.12000/JR14118

(University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu 611731, China)

Received Date: 2014-10-24
Rev Recd Date: 2014-12-15
Publish Date: 2014-12-28

Abstract

Abstract

A passive location method with one transmitter and one receiver using Direction Of Arrival (DOA) and Doppler measurements is proposed in this paper. The optimal trajectory analysis for the receiver is given for a moving target. The minimizing Geometrical Dilution Of Precision (GDOP) for target is used to analyze the optimal 2-D location. Unscented Kalman Filter (UKF) is used to estimate the position and velocity of the target by optimizing the receivers trajectory, and the optimal location can be obtained for every estimated moment. A computer simulation is used to illustrate the effectiveness of the proposed method.
- Passive location,
- One transmitter and one receiver,
- Optimal trajectory,
- Unscented Kalman Filter (UKF)