Relevant bibliographies by topics / Adaptive Frequency Hopping (AFH)

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

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)"

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Lee, Janggoon, Chanhee Park, and Heejun Roh. "Revisiting Adaptive Frequency Hopping Map Prediction in Bluetooth with Machine Learning Classifiers." Energies 14, no. 4 (February 10, 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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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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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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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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Torrieri, D., and K. Bakhru. "An anticipative adaptive array for frequency-hopping communications." IEEE Transactions on Aerospace and Electronic Systems 24, no. 4 (July 1988): 449–56. http://dx.doi.org/10.1109/7.7187.

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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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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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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 (July 1987): 448–67. http://dx.doi.org/10.1109/taes.1987.310878.

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

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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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Dissertations / Theses on the topic "Adaptive Frequency Hopping (AFH)"

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Zunt, Tomáš. "Algoritmy pro systémy s technikou adaptivního frekvenčního skákání." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218172.

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This master's thesis deal the system, which use the Frequency Hopping (FH). Is explained principle those techniques and her benefits and disadvantages. Follows description techniques Adaptive Frequency Hopping (AFH) that used the Bluetooth. Follows description other method for setup hopset such as Dynamic Frequency Hopping (DFH), which used standards 802.22. 22. Is an emerging standard for Wireless Regional Area Networks (WRAN) operating on a license-exempt and non-interference basis in the spectrum allocated to TV broadcast services (between 47–910 MHz). Other method introduces the Adaptive Frequency Rolling (AFR), a particular instance of frequency hopping (FH) that enables the collocated WPANs to cooperate and avoid the self-interference. The AFR uses as input solely the observed packet error rate (PER) and it does not require any exchange of information among the collocated WPANs. The effect of the FR over a longer time interval is that the WPANs use the complete set of disposable channels in an implicit time-division and cooperative manner. Last method described in this Thesis is Dynamic Adaptive Frequency Hopping (DAFH). The basic strategy applied in DAFH is a binary search for a hopset that offers smaller PER. The set of admissible hopsets depends on the total number of available channels and the maximal level of binary divisions. Practical part of the master's thesis describes proposal model AFH, with usage of Matlab Simulink programme. In thesis are described function each blocks a their setting. Simulation parameters can change in simple graphic interface. The model is able to simulate influence of static and dynamic interference in transmission band of two communicating devices.
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Pust, Radim. "Možnosti kódového zabezpečení stanic s kmitočtovým skákáním." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-233571.

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The doctoral thesis deals with design of coding for frequency hopping stations in band with intensive jamming. In digital modulations erroneous determination of the modulation state occurs due to jam at the receiver side. The result is erroneously transferred symbols of the message. Errors created during the transmission can be eliminated by using error control systems. It is also possible to prevent these errors by using algorithms (techniques) of frequency hopping which select the appropriate channel. Appropriate communication channel is a channel with a lower probability of erroneous symbol in the message. The main contribution of this thesis is to design a new frequency hopping technique with collision avoidance (FH/CA). The station with FH/CA technique measures signal levels in the considered several channels before every jump. Based on the measurements the most appropriate channel with the lowest value of measured signal level is selected. Therefore, it is more probable that a jump to an unoccupied channel with a transmission will occur. Using a mathematical model, the performance of the newly proposed FH/CA technique is compared with the currently used techniques FH and AFH. Comparison criteria are the probability of a collision between an FH/CA communication system and a static (device transmitting continuously at a fixed frequency) or dynamic jammer (i.e. other FH or AFH systems). By comparing the values of the probability of jammed transmission, indisputable theoretical advantages of the new FH/CA technique were found, compared to the currently used FH and AFH techniques. The FH/CA technique always has better or equal results compared with the FH technique in the case of interference by static and dynamic jammers. The FH/CA technique in a band with static and dynamic jammers usually has better results than the AFH technique. A significant contribution of the FH/CA technique can be seen in the case of dynamic jammers. On the other hand, in the case of static jammers the FH/CA technique is in certain situations worse than the AFH technique. The accuracy of the mathematical models were successfully verified on a simulation model that was created as a part of this thesis in the MATLAB environment. Based on the obtained data from the model there was designed coding for frequency hopping stations with the new technique of frequency hopping FH/CA which is designed for small-volume data transfer in a band with intensive jamming.
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Flåm, John Torjus. "Adaptive Frequency Hopping with Channel Prediction." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9307.

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The number of radio systems operating in the 2.4 GHz band is rising as a result of increased usage of wireless technologies. Since such devices interfere with one another, satisfactory co-existence becomes important. Several techniques serve to reduce the interference. Included among these are frequency hopping (FH) and power-control. This report focuses only on FH, and particularly on methods that make FH schemes adaptive. An FH scheme is adaptive if it responds to the noise and fading by avoiding channels that are unfit for transmission. An example of such a scheme is already implemented in an audio transceiver, the nRF24Z1, manufactured by Nordic Semiconductor. That transceiver provides the framework for this study, and the main objective is to suggest improvements to its FH algorithm. Better performance is particularly interesting in high quality audio streaming because such transmissions generally have strict real time requirements. Thus, the time to retransmit corrupted data is limited, and measures to reduce the impact of interference and fading are desired. The FH scheme implemented in the nRF24Z1 works broadly as follows: If a channel distorts more than a certain share of the transmitted data, it is extracted from the FH routine and listed as banned for usage. The ban list has room for maximum 18 out of 38 channels and can therefore filter out significant parts of the spectrum. If the system identifies more poor channels than the list can hold, the oldest channel in the ban list is released, and the newly identified one takes its place. In a scenario where noise and deep fades come to occupy a rather stable group of channels, the banned channels will match the unsuited parts of the spectrum quite accurately, and the scheme performs well. However, when the noise and fading is changing, maybe quickly and non-periodically, the performance drops significantly. The reason is that channels are banned only after they have caused trouble, which has two negative effects. Firstly, it is likely that the bulk of the transmitted data was distorted, and the need for retransmission can therefore be large. Secondly, since the transmission conditions are changing, the ban list becomes outdated and reflects the actual interference and fading poorly. Therefore, in this report, the possibility of predicting poor channels in order to avoid them beforehand, is investigated. For the purpose of prediction, small test packets are transmitted. In short, the principle of operation is that if a test packet is readable at the receiver, the channel is used. Otherwise it is avoided. Computer simulations indicate that this technique improves transmission conditions and reduces the need for retransmission when the noise and fading change significantly. Large changes are indeed common in practice. They occur, for example, if a broadband interferer is switched off or greatly varies its output power. Plainly, they could also come about when objects move. Despite promising simulations, channel testing does not come without side effects. An audio streaming system like the nRF24Z1 must secure a certain flow of data to avoid audible errors. If prediction algorithms are to secure that flow, a compromise must be made: the more time a system spends on channel testing, the less time remains for transmission of data. Therefore, at some point, testing must be terminated to leave room for the real job. In consequence, the key issue of finding the best trade-off between testing and transmission must be addressed. This report presents three adaptive FH schemes that approach that issue in their own manner. The performance of the proposed prediction schemes has been investigated using a channel model for the ISM band (Industrial, Medical, and Scientific). It is coded and developed in MATLAB. The model mimics the effects of a real mobile channel quite well, and this inspires non-negligible confidence in the simulation results.

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Narinian, Vartan. "Combined adaptive speech and channel coding for digital mobile radio communication." Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314172.

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Sabbagh, I. S. "An adaptive slow frequency hopping system for band sharing with the existing VHF land mobile radio services." Thesis, University of Southampton, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370371.

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Lei, Ming. "Performance Analysis of Reliable Adaptive Transmission for Mobile Radio Slow Frequency Hopping Channels Aided by Long Range Prediction." NCSU, 2004. http://www.lib.ncsu.edu/theses/available/etd-10272004-222632/.

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Due to correlated fading in frequency hopping (FH) wireless communication systems, it is possible to predict the future channel state information (CSI) for one frequency based on the channel observations of other frequencies. As a result, the performance of slow FH systems can be improved by utilizing adaptive transmission techniques. We propose the optimal Minimum Mean Square Error (MMSE) Long Range Prediction algorithm for slow FH systems that employ coherent detection. A recursive autocorrelation update method and a simplified prediction algorithm are explored to reduce the complexity. Statistical model of the prediction accuracy is developed and used in the design of the reliable adaptive transmission systems. We investigate the performance of adaptive transmission for high-speed data transmission in SFH systems based on the proposed Long Range Prediction algorithms. For slow frequency hopping communications in the presence of partial-band interference, we propose to employ adaptive transmitter frequency diversity and adaptive modulation to mitigate the effects of partial-band interference and fading. Both standard Jakes model and realistic physical model are used to test the performance. Analysis and simulation results show that significant performance gains can be achieved relative to non-adaptive methods.
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Akkizová, Dinara. "Simulátor provozu stanic s kmitočtovým skákáním a vyhýbáním se kolizí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219000.

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The master's thesis aims to introduce and study the issue of frequency hopping with collsion avoidance (FH/CA). On this basis, design a computer program for simulating the operation of a radio systém FHCA, who works in the band used by other systems FH/CA . This simulation programm using MATLAB software to implement verify the correctness of programs. Use simulator to obtain date about the intensity of interference systems FH/CA for the chosen scenario. This work consists of five parts: the first part consists of describing the queuing system, the second part of the description of the radio frequency system with collision avoidence FH / CA, the third part of the description of the simulation model. The fourth part includes verification of the model in the fifth and last section inspects results are shown.
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Liu, Kuan-Chih, and 劉冠志. "Evaluating Performance of Interference Aware Packet Selection in Adaptive Frequency Hopping Supported Bluetooth Systems." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/19978011418753834070.

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Book chapters on the topic "Adaptive Frequency Hopping (AFH)"

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Devarenne, I., A. Caminada, H. Mabed, and T. Defaix. "Adaptive Local Search for a New Military Frequency Hopping Planning Problem." In Lecture Notes in Computer Science, 11–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78761-7_2.

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Lee, Kyesan, and Gigan Lee. "Adaptive Multi-carrier Direct-Sequence CDMA System Using Fast-Frequency-Hopping." In Computational Science and Its Applications - ICCSA 2006, 952–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11751649_104.

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Liang, Wei, Shuai Liu, Yutuo Yang, and Shiming Li. "Research of Adaptive Frequency Hopping Technology in WIA-PA Industrial Wireless Network." In Communications in Computer and Information Science, 248–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36252-1_23.

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Chae, Hui-shin, Kye-san Lee, and Jae-Sang Cha. "An Adaptive Repeater System for OFDM with Frequency Hopping Control to Reduce the Interference." In Lecture Notes in Computer Science, 485–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552413_70.

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Yoon, Yongtak, Changsu Jung, Jihun Seo, Jilong Li, Jinbae Kim, Seungpyo Jin, Nathali Silva, and Kijun Han. "A Fast Adaptive Frequency Hopping Scheme Mitigating the Effect of Interference in Bluetooth Low Energy Networks." In Lecture Notes in Computer Science, 196–204. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49178-3_15.

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Conference papers on the topic "Adaptive Frequency Hopping (AFH)"

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Mansour, Ahmed E., Walid M. Saad, and Salwa H. El Ramly. "Adaptive chaotic frequency hopping." In 2015 Tenth International Conference on Computer Engineering & Systems (ICCES). IEEE, 2015. http://dx.doi.org/10.1109/icces.2015.7393068.

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Ben Cheikh, Sami, Tim Esemann, and Horst Hellbruck. "SAFH - Smooth Adaptive Frequency Hopping." In 2011 Third International Workshop on Cross Layer Design (IWCLD 2011). IEEE, 2011. http://dx.doi.org/10.1109/iwcld.2011.6123078.

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Yin Wenlong, Cheng Yunpeng, and Shen Liang. "Adaptive frequency-hopping in HF communications." In 2011 International Conference on Transportation and Mechanical & Electrical Engineering (TMEE). IEEE, 2011. http://dx.doi.org/10.1109/tmee.2011.6199233.

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Talarico, Salvatore, Matthew C. Valenti, and Don Torrieri. "Otimization of an adaptive frequency-hopping network." In MILCOM 2015 - 2015 IEEE Military Communications Conference. IEEE, 2015. http://dx.doi.org/10.1109/milcom.2015.7357552.

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Stabellini, Luca, Lei Shi, Ahmad Al Rifai, Juan Espino, and Veatriki Magoula. "A new probabilistic approach for adaptive frequency hopping." In 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2009). IEEE, 2009. http://dx.doi.org/10.1109/pimrc.2009.5450211.

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Torrieri, Don. "An Anticipative Adaptive Array for Frequency-Hopping Communications." In 1987 IEEE Military Communications Conference - Crisis Communications: The Promise and Reality. IEEE, 1987. http://dx.doi.org/10.1109/milcom.1987.4795195.

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Liang, Yuchen, and Yuehu Liu. "Adaptive Frequency Hopping Policy for Fast Pose Estimation." In 2021 IEEE International Conference on Image Processing (ICIP). IEEE, 2021. http://dx.doi.org/10.1109/icip42928.2021.9506133.

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Mast, Jannis, Thomas Hanel, and Nils Aschenbruck. "Enhancing Adaptive Frequency Hopping for Bluetooth Low Energy." In 2021 IEEE 46th Conference on Local Computer Networks (LCN). IEEE, 2021. http://dx.doi.org/10.1109/lcn52139.2021.9524988.

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Putzke, Markus, and Christian Wietfeld. "Self-organizing fractional frequency reuse for femtocells using adaptive frequency hopping." In 2013 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2013. http://dx.doi.org/10.1109/wcnc.2013.6554603.

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Torrieri, Don, and Kesh Bakhru. "Anticipative Maximin Adaptive - Array Algorithm for Frequency - Hopping Systems." In MILCOM 2006. IEEE, 2006. http://dx.doi.org/10.1109/milcom.2006.302465.

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Reports on the topic "Adaptive Frequency Hopping (AFH)"

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Hallen, A. D., and H. Hallen. Adaptive Transmission and Channel Modeling for Frequency Hopping Communications. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada510157.

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Torrieri, Don. The Anticipative Maximum Adaptive-Array Algorithm for Frequency-Hopping Systems. Fort Belvoir, VA: Defense Technical Information Center, April 2006. http://dx.doi.org/10.21236/ada448152.

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Lei, Ming, Alexandra Duel-Hallen, and Hans Hallen. Reliable Adaptive Modulation and Interference Mitigation for Mobile Radio Slow Frequency Hopping Channels. Fort Belvoir, VA: Defense Technical Information Center, August 2008. http://dx.doi.org/10.21236/ada500343.

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Jia, Tao, and Alexandra Duel-Hallen. Improved Channel Allocation for Multicarrier CDMA with Adaptive Frequency Hopping and Multiuser Detection. Fort Belvoir, VA: Defense Technical Information Center, August 2008. http://dx.doi.org/10.21236/ada500434.

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Jia, Tao, and Alexandra Duel-Hallen. Performance of Improved Channel Allocation for Multicarrier CDMA with Adaptive Frequency Hopping and Multiuser Detection. Fort Belvoir, VA: Defense Technical Information Center, August 2008. http://dx.doi.org/10.21236/ada500441.

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