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Relevant bibliographies by topics / Adaptive Frequency Hopping (AFH)

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Academic literature on the topic 'Adaptive Frequency Hopping (AFH)'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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Journal articles on the topic "Adaptive Frequency Hopping (AFH)"

1

Lee, Janggoon, Chanhee Park, and Heejun Roh. "Revisiting Adaptive Frequency Hopping Map Prediction in Bluetooth with Machine Learning Classifiers." Energies 14, no. 4 (2021): 928. http://dx.doi.org/10.3390/en14040928.

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Thanks to the frequency hopping nature of Bluetooth, sniffing Bluetooth traffic with low-cost devices has been considered as a challenging problem. To this end, BlueEar, a state-of-the-art low-cost sniffing system with two Bluetooth radios proposes a set of novel machine learning-based subchannel classification techniques for adaptive frequency hopping (AFH) map prediction by collecting packet statistics and spectrum sensing. However, there is no explicit evaluation results on the accuracy of BlueEar’s AFH map prediction. To this end, in this paper, we revisit the spectrum sensing-based classifier, one of the subchannel classification techniques in BlueEar. At first, we build an independent implementation of the spectrum sensing-based classifier with one Ubertooth sniffing radio. Using the implementation, we conduct a subchannel classification experiment with several machine learning classifiers where spectrum features are utilized. Our results show that higher accuracy can be achieved by choosing an appropriate machine learning classifier and training the classifier with actual AFH maps.Our results show that higher accuracy can be achieved by choosing an appropriate machine learning classifier and training the classifier with actual AFH maps.

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2

Wang, Fang, and Xu He. "Simulation and Analysis of SNR Estimation Algorithm Based on Observation Vector Covariance Matrix." Advanced Materials Research 403-408 (November 2011): 2168–71. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2168.

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AFH (adaptive frequency hopping) is the key technology of modern military tactics anti-interference, and channel quality evaluation is the core technology of AFH system. This paper describes the SNR estimation algorithm based on observation vector covariance matrix, and analyzes the mean and MMSE (minimum mean square error) of the SNR estimation algorithm based on autocorrelation and covariance matrix in the condition of AWGN and Rayleigh fading channels. The result shows that the SNR estimation algorithm based on covariance matrix has a smaller estimation error and more timely, which can be applied by AFH communication system.

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3

Zander, J. "Adaptive frequency hopping in HF communications." IEE Proceedings - Communications 142, no. 2 (1995): 99. http://dx.doi.org/10.1049/ip-com:19951650.

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4

Nemsick, L. W., and E. Geraniotis. "Adaptive multichannel detection of frequency-hopping signals." IEEE Transactions on Communications 40, no. 9 (1992): 1502–11. http://dx.doi.org/10.1109/26.163571.

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5

Torrieri, D., and K. Bakhru. "An anticipative adaptive array for frequency-hopping communications." IEEE Transactions on Aerospace and Electronic Systems 24, no. 4 (1988): 449–56. http://dx.doi.org/10.1109/7.7187.

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6

Liang, Xiao Hu, and Lei Cheng. "On the Research of Adaptive Frequency Hopping in the Wireless Communication." Applied Mechanics and Materials 347-350 (August 2013): 2033–37. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2033.

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The multipath fading and interference problems in the wireless communication lead to the link quality decrease severely. However, the conventional frequency hopping scheme cannot solve the problems in an effective way. Adaptive frequency hopping scheme, which is based on the automatically link quality analysis, can avoid the bad frequencies and guarantee the desired level of channel quality. The system is analyzed based on the adaptive frequency hopping model equipped with link quality analyzer which is different from the traditional one. In the paper, some newly proposed adaptive frequency hopping schemes have been summarized, which provide an important reference for the practical application.

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7

Ruan, Jin Xin, Yan Xu, and Miao Cui. "Frequency-Hopping Communication Technology Based on Self-Adaptive MIMO-OFDM System." Advanced Materials Research 945-949 (June 2014): 2230–36. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.2230.

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Along with the gradual increase of intelligent and information equipment on the battlefield, the fierce electronic warfare between the enemy and us makes the electromagnetic environment of the battlefield more and more severe. The anti-jamming capability of conventional frequency-hopping communication system is inadequate such as anti-dynamic interference, anti-intercept, etc., thus posing a serious threat to normal military communication. Moreover, currently the data transmission rate of frequency-hopping system is fairly lower, and cannot meet the increasing large-capacity real-time data transmission requirements. This article deeply researches self-adaptive MIMO-OFDM technology and frequency-hopping communication technology, and introduces the research on frequency-hopping communication technology based on self-adaptive MIMO-OFDM system. The research shows that self-adaptive MIMO-OFDM-based technology can effectively enhance the frequency-hopping communication system’s anti-jamming and anti-intercepting capability, and improve the data transmission rate.

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8

Torrieri, Don, and Kesh Bakhru. "Frequency Compensation in an Adaptive Antenna System for Frequency-Hopping Communications." IEEE Transactions on Aerospace and Electronic Systems AES-23, no. 4 (1987): 448–67. http://dx.doi.org/10.1109/taes.1987.310878.

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9

Seung-Hwan Lee and Yong-Hwan Lee. "Adaptive frequency hopping for bluetooth robust to WLAN interference." IEEE Communications Letters 13, no. 9 (2009): 628–30. http://dx.doi.org/10.1109/lcomm.2009.090115.

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10

Sabbagh, I., and D. G. Appleby. "Adaptive slow frequency-hopping system for land mobile radio." IEE Proceedings F Communications, Radar and Signal Processing 132, no. 5 (1985): 375. http://dx.doi.org/10.1049/ip-f-1.1985.0076.

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