Adaptive Detection of Direct-Sequence Spread-Spectrum Signals Based on Knowledge-Enhanced Compressive Measurements and Artificial Neural Networks

Adaptive Detection of Direct-Sequence Spread-Spectrum Signals Based on Knowledge-Enhanced Compressive Measurements and Artificial Neural Networks

The direct-sequence spread-spectrum (DSSS) technique has been widely used in wireless secure communications. In this technique, the baseband signal is spread over a wider bandwidth using pseudo-random sequences to avoid interference or interception. In this paper, the authors propose methods to adap...

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Bibliographic Details
Main Authors: Shuang Zhang, Feng Liu, Yuang Huang, Xuedong Meng
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
DSSS
compressive detection
mutual information
adaptive detection
artificial neural network
Online Access:https://www.mdpi.com/1424-8220/21/7/2538

Internet

https://www.mdpi.com/1424-8220/21/7/2538

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