Abstract
A cognitive automatic identification system (CAIS) employing some promising technologies, such as spectrum sensing and OFDM, has been investigated by us in recent 4 years. In the CAIS, the normal location messages and security video information will be loaded by employing the OFDM. However, OFDM signals have a high peak-to-average power ratio (PAPR), which causes signal distortion. Lots of the PAPR reduction techniques have been presented in the literature, among which, a technique of dynamically selecting sequences has been taken considerable suggestion, but its high computational complexity and bandwidth expansion impedes practical implementation. In this paper, transforming sequence of Frank-Heimiller (TSFH) is proposed for the first time, which is with the ideal correlation properties; then we propose a dynamic spreading code allocation (DSCA) based on the set of TSFH and artificial bee colony algorithm (DSCA-TSFH and ABC) scheme to obtain low PAPR. Simulation results show that the proposed DSCA-TSFH and ABC algorithm is an efficient one to achieve significant PAPR reduction, with a low computational complexity.
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Notes
- 1.
In the ship-to-ship or ship-to-coast communications of the CAIS, the transmitted signal is considered as uplink one. Meanwhile, the satellite or coast-based signal can be considered as downlink one. In this paper, for simplicity, we only consider the case one. In fact, the extension of the proposed method is straightforward and the interested readers can further investigate.
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Acknowledgements
This work is supported in part by Tianjin Research Program of Application Foundation and Advanced Technology under Grant 15JCQNJC01800 and 16JCQNJC01100, in part by High School Science and Technology Developing Foundation of Tianjin under Grant 20140706, in part by Doctoral Foundation of Tianjin Normal University under Grant 52XB1201, and in part by the National Natural Science Foundation of China under Grant 61371108, and 61431005.
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Wang, J., Cui, Y., Ma, S., Liu, L., Teng, J. (2018). PAPR Reduction for Cognitive AIS Using Transforming Sequence of Frank-Heimiller and Artificial Bee Colony Algorithm. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2016. Lecture Notes in Electrical Engineering, vol 423. Springer, Singapore. https://doi.org/10.1007/978-981-10-3229-5_11
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DOI: https://doi.org/10.1007/978-981-10-3229-5_11
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