Open AccessFast Clustering of Communication Signals
Author(s) -
Gang Ji,
Yuxuan Zhu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1884/1/012007
Subject(s) - computer science , demodulation , jamming , physical layer , protocol (science) , cluster analysis , electronic warfare , power analysis , identification (biology) , real time computing , channel (broadcasting) , computer network , radar , artificial intelligence , computer security , telecommunications , cryptography , wireless , medicine , physics , alternative medicine , botany , pathology , biology , thermodynamics
In the modern and digital battlefield, grasping the electromagnetic power of battlefield system is the key to deciding the outcome of the war, and accurate and comprehensive electromagnetic situational awareness is of great importance. Communication protocol analysis is a prerequisite for smart jamming in non-cooperative electronic countermeasures. The design of efficient jamming strategy for synchronous or networked signals can make up for the shortcoming of insufficient jamming power, solve the problems of remote and covert jamming, greatly reduce the cost of jamming equipment and improve the survivability of battlefield. Therefore, the rapid analysis of communication signal protocol has important military application value. Traditional protocol analysis requires parameter estimation layer by layer on the communication protocol, and bitstream analysis of the protocol word can only be carried out on the premise of solving modulation pattern identification and demodulation, interweave and scrambling parameter estimation and demodulation, channel decoding parameter estimation and decoding. This analysis method has the following disadvantages: long analysis cycle, strong expert dependence and high algorithm complexity. It is difficult to meet the demand of real-time analysis of unknown and flexible electromagnetic signals. In order to solve this problem, this paper proposes an idea of fast clustering of signal protocols in the physical layer by artificial intelligence method.