Suppression of narrowband interference using frequency-domain cross-correlation

ZHANG Tao-Tao; ZHANG Wen-Yi

doi:10.7523/j.issn.2095-6134.2013.05.015

Journal of University of Chinese Academy of Sciences >

2013 , Vol. 30 >Issue 5: 671 - 675

DOI: https://doi.org/10.7523/j.issn.2095-6134.2013.05.015

Suppression of narrowband interference using frequency-domain cross-correlation

ZHANG Tao-Tao ,
ZHANG Wen-Yi

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Wireless Information Network Laboratory, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China

Received date: 2013-01-08

Revised date: 2013-03-07

Online published: 2013-09-15

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Abstract

Narrowband interference (NBI) may lead to failure of the time-domain cross-correlation (TDCC) weak signal detection approach since NBI is mistakenly detected as the desired signal. In order to solve this problem, a detection approach based on frequency-domain cross-correlation (FDCC) is proposed. The entire spectrum band is divided into multiple sub-bands, and the corresponding statistical characteristic of each sub-band is derived. Then according to the criterion of one-sided test, a one-bit decision is made in each sub-band. Finally, the decisions of all the sub-bands are processed jointly via the n-out-of-m fusion rule to make the final decision. Simulation results show that the proposed approach is promising for suppressing NBI and it distinctively outperforms the TDCC detection approach.

Key words： wideband signal detection; cognitive radio (CR); spectrum sensing; cross-correlation; narrowband interference (NBI)

Cite this article

ZHANG Tao-Tao , ZHANG Wen-Yi . Suppression of narrowband interference using frequency-domain cross-correlation[J]. Journal of University of Chinese Academy of Sciences, 2013 , 30(5) : 671 -675 . DOI: 10.7523/j.issn.2095-6134.2013.05.015

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