TY - GEN
T1 - An improved passive location algorithm based on UKF
AU - Yang, Xiaojun
AU - Lu, Fang
AU - Liu, Gang
AU - Guo, Jinku
AU - Xu, You
AU - Wang, Rong
PY - 2009
Y1 - 2009
N2 - With the merits as far responding distance, hiding receiving and easy-deploying, the single observation passive location has a broad application in military domain and plays an important part in passive radar, navigation and aerospace, etc. With the information of phase-difference, phase-difference rate of change and Doppler frequency rate of change, a new algorithm called PFRC, based on EKF, is proposed. Compared with two popular passive location methods which are bearing-only (BO) and phase-difference rate of change (PRC), the PFRC has good performance in that it has higher precision and higher speed. However, the linearization processing of the EKF introduces truncation error, which degrades the estimation precision. In order to reduce the error, based on the PFRC and the unscented transform, an improved passive location algorithm is proposed. Simulation results show that the proposed algorithm has better estimation precision.
AB - With the merits as far responding distance, hiding receiving and easy-deploying, the single observation passive location has a broad application in military domain and plays an important part in passive radar, navigation and aerospace, etc. With the information of phase-difference, phase-difference rate of change and Doppler frequency rate of change, a new algorithm called PFRC, based on EKF, is proposed. Compared with two popular passive location methods which are bearing-only (BO) and phase-difference rate of change (PRC), the PFRC has good performance in that it has higher precision and higher speed. However, the linearization processing of the EKF introduces truncation error, which degrades the estimation precision. In order to reduce the error, based on the PFRC and the unscented transform, an improved passive location algorithm is proposed. Simulation results show that the proposed algorithm has better estimation precision.
KW - EKF
KW - Linearization
KW - Passive location
KW - Phase-difference
KW - UKF
UR - https://www.scopus.com/pages/publications/77749310100
U2 - 10.1109/WCSP.2009.5371649
DO - 10.1109/WCSP.2009.5371649
M3 - 会议稿件
AN - SCOPUS:77749310100
SN - 9781424456680
T3 - 2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009
BT - 2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009
T2 - 2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009
Y2 - 13 November 2009 through 15 November 2009
ER -