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Cognitive Radio Sensing Using Hilbert Huang Transform
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作者 K. A. Narayanankutty Abhijith A. Nair +3 位作者 Dilip Soori deepak pradeep V. Ravi Teja Vishnu K.B. 《Wireless Engineering and Technology》 2010年第1期36-40,共5页
Vast segments of the frequency spectrum are reserved for primary (licensed) users. These legacy users often un-der-utilize their reserved spectrum thus causing bandwidth waste. The unlicensed (secondary) users can tak... Vast segments of the frequency spectrum are reserved for primary (licensed) users. These legacy users often un-der-utilize their reserved spectrum thus causing bandwidth waste. The unlicensed (secondary) users can take advantage of this fact and exploit the spectral holes (vacant spectrum segments). Since spectrum occupancy is transient in nature it is imperative that the spectral holes are identified as fast as possible. To accomplish this, we propose a novel adaptive spectrum sensing procedure. This procedure scans a wideband spectrum using Hilbert Huang Transform and detects the spectral holes present in the spectrum. 展开更多
关键词 Empirical MODE DECOMPOSITION (EMD) ENSEMBLE Empirical MODE DECOMPOSITION (EEMD) Intrinsic MODE Function (IMF) Noise Assisted Data Analysis (NADA) Cognitive Radio GUARD Band Spectrum SENSING
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