Cooperative Tracking for Ground and Airborne Passive Sensors in the Presence of Main Lobe Jamming

DOI

10.2991/mmsa-18.2018.60How to use a DOI?

Keywords

mainlobe jamming; sensor data fusion; extended Kalman filter

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/mmsa-18.2018.60
ID  - Sun2018/03
ER  -