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Zhenyi Wang, Shengyun Wei, Li Zou, Feifan Liao, Weimin Lang and Yuanzhuo Li
The most widely used Wi-Fi wireless communication system, which is based on OFDM, is currently developing quickly. The receiver must, however, accurately estimate the carrier frequency offset between the transmitter and the receiver due to the characteri...
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Fengzhong Qu, Zhengchao Li, Minhao Zhang, Xingbin Tu and Yan Wei
Wireless communication at sea is an essential way to establish a smart ocean. In the communication system, however, signals are affected by the carrier frequency offset (CFO), which results from the Doppler effect and crystal frequency offset. The offset...
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Xue Li, Xiaolin Zeng and Linshan Xue
For unmanned aerial vehicles (UAVs), high-precision measurement and high-speed communication are necessary to realize flight and operational missions. In this paper, we propose an integrated communication and measurement system in a Doppler frequency off...
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Junfang Li, Mingqian Liu, Ningjie Tang and Bodong Shang
Signal-to-noise ratio (SNR) estimation is essential in the unmanned aerial vehicle (UAV) orthogonal frequency division multiplexing (OFDM) system for getting accurate channel estimation. In this paper, we propose a novel non-data-aided (NDA) SNR estimati...
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Wang Cheng, Cao Yushi and Wang Weidong
In recent years, the constant-envelope orthogonal frequency-division multiplexing (CE-OFDM) has been considered as a candidate waveform in broadband satellite systems as it has a 0-dB peak-to-average power ratio (PAPR). However, the carrier frequency off...
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Min Zhang, Zhongwei Yu, Hai Wang, Hongbo Qin, Wei Zhao and Yan Liu
Neural network shows great potential in modulation classification because of its excellent accuracy and achievability but overfitting and memorizing data noise often happen in previous researches on automatic digital modulation classifier. To solve this ...
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Mingxuan Li, Ou Li, Guangyi Liu and Ce Zhang
Recently, automatic modulation recognition has been an important research topic in wireless communication. Due to the application of deep learning, it is prospective of using convolution neural networks on raw in-phase and quadrature signals in developin...
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Il-Gu Lee
The Internet of Things (IoTs) will change the requirements for wireless connectivity significantly, mainly with regard to service coverage, data rate, and energy efficiency. Therefore, to improve robustness and reliability, WiFi-enabled IoT devices have ...
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Bereket Babiso Yetera,Philip K. Langat,Edward K. Ndungu
Pág. 63 - 70
An Orthogonal Frequency Division Multiplexing based mobile wireless network with a sender, a destination and a third station acting as a cooperating node is modelled and analyzed. The length of cyclic prefix in the orthogonal frequency division multiplex...
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Adrian Langowski
Pág. 62 - 66
In This paper presents the proposition of the tracking algorithm of the carrier frequency and sampling frequency offsets. The algorithm uses a phase difference between channel transfer function estimates computed for the same subcarrier of two successive...
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