Active Sensor Radiation Control Based on Posterior Cramer-Rao Lower Bound with Passive Measurement

In this paper, the issue of active radar radiation control for target tracking is studied to improve the concealment of aircraft. Since too much emission will lead to our aircraft be locked in by enemy electronic support measures (ESM), radar emission should be as low as possible. To reduce the rada...

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Bibliographic Details
Published in2019 Chinese Control Conference (CCC) pp. 3564 - 3570
Main Authors Huai, Tianyi, Liu, Meiqin, Zhang, Senlin, He, Yan
Format Conference Proceeding
LanguageEnglish
Published Technical Committee on Control Theory, Chinese Association of Automation 01.07.2019
Subjects
Atmospheric measurements
Covariance matrices
Mathematical model
Multi-sensor Fusion
Particle Filter
Particle measurements
Posterior Cramer-Rao Lower Bound
Radar Radiation Control
Radar tracking
Target tracking
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Summary:In this paper, the issue of active radar radiation control for target tracking is studied to improve the concealment of aircraft. Since too much emission will lead to our aircraft be locked in by enemy electronic support measures (ESM), radar emission should be as low as possible. To reduce the radar radiation, firstly, the problem is formulated and a multi-sensor fusion algorithm based on particle filter (PF) for synergy tracking is given. Then, a novel method combined posterior Cramer-Rao lower bound (PCRLB) with angle is proposed. It compares the angle measurement with the predicted value to determine whether the active sensor needs to be turned on, and then selects the sensor with PCRLB. Finally, simulation results show that the radiation times have obvious decrease, which demonstrates the validation of our proposed algorithm.
ISSN:2161-2927
DOI:10.23919/ChiCC.2019.8866514