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A novel algorithm for channel segmentation based on a Lloyd-Max quantization

  • Signal detection and bandwidth estimation, also known as channel segmentation or information channel estimation, is a perpetual topic in communication systems. In the field of radio monitoring this issue is extremely challenging, since unforeseeable effects like fading occur accidentally. In addition, most radio monitoring devices normally scan a wide frequency range of several hundred MHz andSignal detection and bandwidth estimation, also known as channel segmentation or information channel estimation, is a perpetual topic in communication systems. In the field of radio monitoring this issue is extremely challenging, since unforeseeable effects like fading occur accidentally. In addition, most radio monitoring devices normally scan a wide frequency range of several hundred MHz and have to detect a multitude of different signals, varying in signal power, bandwidth and spectral shape. Since narrowband sensing techniques cannot be directly applied, most radio monitoring devices use Nyquist wideband sensing to discover the huge frequency range. In practice, sensing is normally conducted by an FFT sweep spectrum analyzer that delivers the power spectral density (PSD) values to the radio monitoring system. The channel segmentation is the initial step of a comprehensive signal analysis in a radio monitoring system based on the PSD values. In this paper, a novel approach for channel segmentation is presented that is based on a quantization and a histogram evaluation of the measured PSD. It will be shown that only the combination of both evaluations will lead to an successful automatic channel segmentation. The performance of the proposed algorithm is shown in a real radio monitoring szenario.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/1624
Bibliografische Angaben
Title (English):A novel algorithm for channel segmentation based on a Lloyd-Max quantization
Conference:2014 20th International Conference on Microwaves, Radar and Wireless Communications (MIKON), 16-18 June 2014, Gdansk, Poland
Author:Christian WeberStaff Member, Andreas ChristStaff MemberORCiDGND, Tobias FelhauerStaff MemberGND, Lothar SchüsseleStaff MemberGND
Year of Publication:2014
Creating Corporation:IEEE
First Page:1
Last Page:4
Parent Title (English):20th International Conference on Microwaves, Radar, and Wireless Communications (MIKON)
DOI:https://doi.org/10.1109/MIKON.2014.6900011
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik und Informationstechnik (E+I) (bis 03/2019)
Fakultät Medien und Informationswesen (M+I) (bis 21.04.2021)
Institutes:Bibliografie
GND Keyword:Algorithmus; Segmentierung; kanal
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt