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Simple Primary User Signal Area Estimation for Spectrum Measurement
Kenta UMEBAYASHI Kazuki MORIWAKI Riki MIZUCHI Hiroki IWATA Samuli TIIRO Janne J. LEHTOMÄKI Miguel LÓPEZ-BENÍTEZ Yasuo SUZUKI
Publication
IEICE TRANSACTIONS on Communications
Vol.E99-B
No.2
pp.523-532 Publication Date: 2016/02/01 Online ISSN: 1745-1345
DOI: 10.1587/transcom.2015EBP3240 Type of Manuscript: PAPER Category: Terrestrial Wireless Communication/Broadcasting Technologies Keyword: dynamic spectrum access, smart spectrum access, spectrum measurement, cognitive radio, signal detection, signal area estimation,
Full Text: PDF>>
Summary:
This paper investigates a signal area (SA) estimation method for wideband and long time duration spectrum measurements for dynamic spectrum access. SA denotes the area (in time/frequency domain) occupied by the primary user's signal. The traditional approach, which utilizes only Fourier transform (FT) and energy detector (ED) for SA estimation, can achieve low complexity, but its estimation performance is not very high. Against this issue, we apply post-processing to improve the performance of the FT-based ED. Our proposed method, simple SA (S-SA) estimation, exploits the correlation of the spectrum states among the neighboring tiles and the fact that SA typically has a rectangular shape to estimate SA with high accuracy and relatively low complexity compared to a conventional method, contour tracing SA (CT-SA) estimation. Numerical results will show that the S-SA estimation method can achieve better detection performance. The SA estimation and processing can reduce the number of bits needed to store/transmit the observed information compared to the FT-based ED. Thus, in addition to improved detection performance it also compresses the data.
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