Original scientific paper

https://doi.org/10.17559/TV-20190606145227

A Risk-Based Sensor Management Method for Target Detection in the Presence of Suppressive Jamming

Yunpu Zhang ; Department of Electronic and Optical Engineering, Army Engineering University, Shijiazhuang 050003, China
Ganlin Shan* ; Department of Electronic and Optical Engineering, Army Engineering University, 97 Heping West Road, Xinhua Road Street, Xinhua District, Shijiazhuang 050003, China

Abstract

In this paper, a risk-based sensor management method for target detection in the presence of suppressive jamming is proposed, in which available sensors are dynamically scheduled to control the risk in the execution of target detection task. Firstly, the sensor detection models in the absence/ presence of jamming are established, and the calculation method of target detection risk is presented based on the target detection probability. Secondly, the sensor radiation model is established, and the calculation method of radiation risk is given by using hidden Markov filter. Then, a non-myopic objective function is constructed to minimize the sum of detection risk and radiation risk. Furthermore, in order to obtain the optimal solution of objective function quickly, a decision tree search algorithm combining with branch and bound theory and greedy search is proposed. Finally, simulations are conducted, and the results show that the proposed algorithm and sensor management method are effective and advanced compared with the existing algorithms and methods.

Keywords

decision tree; detection risk; radiation risk; sensor management; suppressive jamming; target detection

Hrčak ID:

234167

URI

https://hrcak.srce.hr/234167

Publication date:

15.2.2020.

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