A new type double-threshold signal detection algorithm for satellite communication systems based on stochastic resonance technology

In order to further improve the accurate detection signal, reduce interference between signals, this paper designs a new type of signal detection algorithm for satellite communication systems, using stochastic resonance technology improve the signal-to-noise ratio of the input signal, the signal by...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Wireless networks Jg. 30; H. 5; S. 3367 - 3374
Hauptverfasser: Jiang, Xiaolin, Diao, Ming
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.07.2024
Springer Nature B.V
Schlagworte:
Algorithms
Communications Engineering
Communications systems
Computer Communication Networks
Electrical Engineering
Engineering
IT in Business
Networks
Orbital resonances (celestial mechanics)
Satellite communications
Signal detection
Stochastic resonance
Wireless networks
Stochastic resonance
Algorithm
Satellite communication network
ISSN:1022-0038, 1572-8196
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In order to further improve the accurate detection signal, reduce interference between signals, this paper designs a new type of signal detection algorithm for satellite communication systems, using stochastic resonance technology improve the signal-to-noise ratio of the input signal, the signal by using energy detection, double threshold, accurate judgment. The first step in the conventional energy of double threshold detection, the second step into the energy detection method based on stochastic resonance detection process. The experimental results show that this algorithm under the condition of low SNR signals effectively detect, promoted the whole satellite communication system performance.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1022-0038
1572-8196
DOI:10.1007/s11276-019-02020-8