TY - GEN
T1 - Waveform Selection for Multistatic LSS Target Tracking with Rao-Blackwellized Particle Filter
AU - Zhou, Zhiquan
AU - Sun, Ping
AU - Zhao, Zhanfeng
AU - Liang, Mingzhi
AU - Feng, Xiang
AU - Li, Yingchun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, to track the Low-Altitude and Slow-speed Small target (LSS), we use the Rao-Blackwellized particle filter (RBPF) algorithm as a basis to investigate the waveform selection problem arising from its application to target multi-station tracking. Waveforms are designed or selected to ensure a small measurement error in the dimension of the target motion state, to optimize radar performance, and to cope with the non-smoothness and uncertainty of the environment. RBPF is not only suitable for complex nonlinear systems, but also reduces the dimensionality of particle filter states and reduces computational complexity. The algorithm is verified by simulation, and the results show that the RBPF algorithm can complete the target multi-station tracking task well and have good performance.
AB - In this paper, to track the Low-Altitude and Slow-speed Small target (LSS), we use the Rao-Blackwellized particle filter (RBPF) algorithm as a basis to investigate the waveform selection problem arising from its application to target multi-station tracking. Waveforms are designed or selected to ensure a small measurement error in the dimension of the target motion state, to optimize radar performance, and to cope with the non-smoothness and uncertainty of the environment. RBPF is not only suitable for complex nonlinear systems, but also reduces the dimensionality of particle filter states and reduces computational complexity. The algorithm is verified by simulation, and the results show that the RBPF algorithm can complete the target multi-station tracking task well and have good performance.
KW - Rao-Blackwellized particle filter
KW - multistatic radar
KW - target tracking
KW - waveform selection
UR - https://www.scopus.com/pages/publications/85184810234
U2 - 10.1109/ICICSP59554.2023.10390555
DO - 10.1109/ICICSP59554.2023.10390555
M3 - 会议稿件
AN - SCOPUS:85184810234
T3 - 2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
SP - 487
EP - 491
BT - 2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
Y2 - 23 September 2023 through 25 September 2023
ER -