MM-PHD filter-based sensor control for tracking multiple maneuvering targets hidden in the DBZ - CJA double-column 7.pdf (4.95 MB)
Download fileMM-PHD filter-based sensor control for tracking multiple maneuvering targets hidden in the DBZ
To improve
the performance of tracking multiple maneuvering targets hidden in the Doppler
blind zone (DBZ), we put forward the idea of using sensor control technique to
suppress the DBZ masking problem for the first time, by utilizing the principle
that the absolute Doppler of a target with respect to a sensor is affected by
the target-to-sensor relative geometry and extending multi model probability
hypothesis density (MM-PHD) filter for DBZ masking to the partially observable
Markov decision process (POMDP) framework. First, the process flow of sensor
control is systematically constructed based on our existing work. Second, in
the core sensor controller module, we devise three objective functions
(including a new safety indicator ensuring sensor safety, a novel reward rule
for the DBZ avoidance, and the Cauchy-Schwarz divergence (CSD) compatible with
the multi-maneuvering-target tracking) and a decision-making logic for the
selection of control commands. Finally, the feasibility and effectiveness of
the proposed control scheme are verified through numerical examples, and it is
demonstrated that it is obviously superior to the random control strategy and
the earlier work without using the control technology.
Funding
National Natural Science Foundation of China under Grant 61601510
History
Email Address of Submitting Author
weihuawu1987@163.comSubmitting Author's Institution
AEWASubmitting Author's Country
- China
