Energy Detector; satellite communications; interference detection; truncated chi-squared distribution; signal cancellation
Abstract :
[en] Interference is identified as a critical issue for satellite communication (SATCOM) systems and services. There is a growing concern in the satellite industry to manage and mitigate interference efficiently. While there are efficient techniques to monitor strong interference in SATCOM, weak interference is not so easily detected because of its low interference to signal and noise ratio (ISNR). To address this issue, this paper proposes and develops a technique which takes place on-board the satellite by decoding the desired signal, removing it from the total received signal and applying an Energy Detector (ED) in the remaining signal for the detection of interference. Different from the existing literature, this paper considers imperfect signal cancellation, examining how the decoding errors affect the sensing performance, derives the expressions for the probability of false alarm and provides a set of simulations results, verifying the efficiency of the technique.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Politis, Christos ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Maleki, Sina ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Tsinos, Christos ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Chatzinotas, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Ottersten, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
Weak Interference Detection with Signal Cancellation in Satellite Communications
Publication date :
2017
Event name :
The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017
Event organizer :
IEEE
Event place :
New Orleans, United States
Event date :
March 5-9 2017
By request :
Yes
Audience :
International
Main work title :
The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017
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