Maritime cognitive radio spectrum sensing based on multi-antenna cyclostationary feature detection

ABSTRACT

With the development of the maritime transportation industry, the number of ships is increasing and the ships are becoming more intelligent. Due to the rapid development of maritime communication, the demand for communication spectrum is increasing. Therefore, the maritime cognitive radio (CR) system is an effective solution. Because of the multipath fading caused by sea surface and atmosphere has a more serious influence on communication signals, which increases the instability of the signal reception, the spectrum sensing technology in maritime cognitive radio is more challenging than the spectrum sensing on land. In order to solve this problem, a cyclostationary detection algorithm for multiple antennas in fading model is proposed. A maximum ratio combining algorithm based on optimal weight correlation value (OWCV-MRC) is proposed for the diversity gain and system performance degradation caused by diversity technology on multipath fading channels. The algorithm uses the correlation values of the attenuation gains on the two different branches as the weighting coefficients of each branch, thus improving the coefficient matrix in the maximum ratio combining (MRC) algorithm. The simulation results show that the proposed algorithm can effectively detect the target signal in the fading channel with ultra-low signal to noise ratio (SNR).

KEYWORDS:

• Cognitive radio
• spectrum sensing
• cyclostationary detection
• multi-antenna
• diversity technique

Acknowledgments

The authors would like to thank the anonymous reviewers for their constructive comments.

Author’s contributions

All the work related to this paper was carried out by the author. The author read and approved the final manuscript.

Consent for publication

Figures appearing in this paper are not related to individual participants, and therefore, there was no need for consent for publication.

Disclosure statement

No potential conflict of interest was reported by the authors.

Ethics approval and consent to participate

The research in this paper does not involve human subjects, human material, or human data; therefore, there was no need for the approval of an ethics committee nor the consent of human participants.

Additional information

Funding

The paper is funded by the Chinese National Science Foundation (Nos. 61501078 and 61601078), the Liaoning Natural Science Foundation (No. 20180550964) and the Doctoral Scientific Research Starting Foundation of Liaoning Province （20170520091）, Chinese National Scientific Research Basic Business Fee (No. 017190327).