IEICE Communications Express
Online ISSN : 2187-0136
ISSN-L : 2187-0136
Spectrum sensing based on weighted diversity combining using time-averaged CAF
Daiki ChoShusuke NariedaKenta UmebayashiHiroshi Naruse
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2019 Volume 8 Issue 2 Pages 20-25

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Abstract

This paper proposes a cyclic autocorrelation function (CAF) diversity combining technique for spectrum sensing using test statistics shared among multiple receive antennas with time-averaged weights. The proposed technique computes a weight factor by averaging CAF, and the weight factor is employed to improve the performance of signal detection. The proposed results are compared with some conventional techniques, and they show that the signal detection performance can be improved without the increasing computational complexities in comparison with the conventional techniques.

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© 2019 The Institute of Electronics, Information and Communication Engineers
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