Open AccessRETRACTED: Wireless Location Algorithm of Digital Broadcast Signals Based on Multi-Convolution Neural Network
Author(s) -
Xiuping Zhang,
Min Qiu,
Fengcheng Qu
Publication year - 2020
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 - 10.1088/1742-6596/1574/1/012051
Subject(s) - computer science , wireless , convolution (computer science) , interference (communication) , artificial neural network , signal (programming language) , algorithm , field (mathematics) , wireless network , real time computing , electronic engineering , artificial intelligence , telecommunications , engineering , mathematics , channel (broadcasting) , pure mathematics , programming language
Given the problem of relatively few solutions to military reconnaissance or interference search link, as well as the slow speed and low accuracy of the existing solutions, a fast search method for digital broadcast signals using multi-convolution neural network (MCNN) was put forward. In this method, MCNN was applied to the radio monitoring field, and the fast wireless location of signals was implemented by three steps (data pre-processing, parameter training, and signal matching). The experimental results show that the method has a fast search speed and an accurate up to 98%. It can also reduce the dependence on complex parameters of the signals effectively, with excellent performance in the fast wireless location of digital broadcast signals.