This paper presents a simple equal gain combining technique for cyclostationarity detection based spectrum sensing in cognitive radio networks. The presented technique is based on maximum cyclic autocorrelation function (MCAS) technique with a low computational cost relative to other cyclostationarity detection based spectrum sensing techniques. MCAS judges whether an orthogonal frequency division multiplexing signal is included in received signals, by comparing the peak and non-peak values of a cyclic autocorrelation function (CAF). In this paper, the signal-to-noise ratio (SNR) of the CAF, which is composed of the peak and non-peak values of the CAF, is employed. The presented technique attempts to improve the performance of spectrum sensing by combining CAFs obtained at each receive antenna and by obtaining a stable CAF SNR. Moreover, the presented technique is implemented on a software defined radio based testbed for the evaluation. The developed testbed is mainly composed of a Universal Software Radio Peripheral/GNU Radio which is one of the software defined radio receiver, and the spectrum sensing technique is experimentally demonstrated in an anechoic chamber using the 470–710 MHz frequency band allocated to ISDB-T (terrestrial digital broadcasting) in Japan. The effectiveness of the presented techniques is validated by these results.
Wireless Personal Communications – Springer Journals
Published: Apr 25, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
All the latest content is available, no embargo periods.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud