Abstract
Detection performance evaluation is one of the inevitable problems for marine wireless sensor networks (MWSNs) deployed for target detection. However, it is a very complicated problem since it associates many different aspects, such as emitter power, range, radar cross-section, weather, geography, working mode, and so on. Targeting this problem, this paper incorporates the Poisson point process model into describing the ranges from sensors to targets. The relationship between sensors and a target is built from the perspective of detection probabilities. Then, a new consistent, conservative target detection probability evaluation is derived within a CFAR framework, and the further global detection probability of the whole MWSN on the target is developed. Additionally, the rationality of this modeling approach is demonstrated via simulation results, which is in accord with the actual situation.
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference32 articles.
1. A software-defined multi-modal wireless sensor network for ocean monitoring;Luo;Int. J. Distrib. Sens. Netw.,2022
2. Direction-Of-Arrival estimation for coprime array via virtual array interpolation;Zhou;IEEE Trans. Signal Process.,2018
3. Efficient target detection in maritime search and rescue wireless sensor net-work using data fusion;Wu;Comput. Commun.,2018
4. Joint target assignment and resource optimization framework for multitarget tracking in phased array radar network;Shi;IEEE Syst. J.,2021
5. Fattah, S., Gani, A., Ahmedy, I., Idris, M.Y.I., and Targio Hashem, I.A. A survey on underwater wireless sensor networks: Requirements, taxonomy, recent advances, and open research challenges. Sensors, 2020. 20.