Cooperative Tracking for Ground and Airborne Passive Sensors in the Presence of Main Lobe Jamming
- https://doi.org/10.2991/mmsa-18.2018.60How to use a DOI?
- mainlobe jamming; sensor data fusion; extended Kalman filter
Target detection in the presence of mainlobe jamming is a traditional problem for radar signal processing. To solve this problem, methods based on a single array or distributed auxiliary arrays were considered recently. However, the performance is limited by mainlobe resolution or side lobe level, which should be traded off using optimization procedure. To avoid this limitation, a cooperative tracking method for ground and airborne passive sensors is proposed, which can get sufficient resolution for the reason that the airborne sensors can be take near to the target and mainlobe jamming. The target position is fused by extended Kalman filter. The trajectory is optimized to get optimum accuracy. Simulations are then provided to corroborate the theoretical studies.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Qing Sun AU - Qiliang Zhang AU - Qian Gao PY - 2018/03 DA - 2018/03 TI - Cooperative Tracking for Ground and Airborne Passive Sensors in the Presence of Main Lobe Jamming BT - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018) PB - Atlantis Press SP - 268 EP - 271 SN - 1951-6851 UR - https://doi.org/10.2991/mmsa-18.2018.60 DO - https://doi.org/10.2991/mmsa-18.2018.60 ID - Sun2018/03 ER -