Affiliation:
1. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
2. Shaanxi Key Laboratory of Intelligent Robots, Xi’an Jiaotong University, Xi’an 710049, China
Abstract
Because of the requirements of marine resources exploration and underwater cooperative operation, the underwater operation of common detection and communication equipment is difficult and unreliable. Therefore, it is urgent to establish an accurate underwater target detection and multi-node communication integrated system. An integrated method of underwater electric field detection and communication based on P4 code-modulated OFDM signal is proposed in response to the above requirements. The working principle, system structure, and signal processing of underwater electric field detection and electric field communication are similar. This article uses detection signal P4 code to modulate the phase of OFDM communication signal, thus realizing the integration of Underwater Detection and Communication System (IUDCS). The simulation results show that IUDCS can meet the detection range and velocity characteristics of underwater dynamic targets. The simulation results also meet the requirements for communication error rate and symbol error rate, thereby verifying the performance of underwater electric field IUDCS. This method is necessary for the realization of IUDCS in terms of reducing platform size, reducing power consumption, and enhancing concealment. Moreover, it shows good application prospects in underwater robot cluster operations.
Funder
National Natural Science Foundation of China
Rapid Support Fund Project of China
Basic Research Project of China
Subject
Ocean Engineering,Water Science and Technology,Civil and Structural Engineering
Reference35 articles.
1. Active Electrolocation for Underwater Target Localization;Solberg;Int. J. Robot. Res.,2008
2. Environment reconstruction and navigation with electric sense based on a Kalman filter;Lebastard;Int. J. Robot. Res.,2013
3. Morel, Y., Lebastard, V., and Boyer, F. (2016, January 16–21). Neural-based underwater surface localization through electrolocation. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden.
4. Lanneau, S., Lebastard, V., and Boyer, F. (2016, January 16–21). Object shape recognition using electric sense and ellipsoid’s polarization tensor. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden.
5. Generalized MUSIC-Like Array Processing for Underwater Environments;Lim;IEEE J. Ocean. Eng.,2017