Academic literature on the topic 'Wireless communication systems. Estimation theory. Speed'

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Journal articles on the topic "Wireless communication systems. Estimation theory. Speed"

1

Bessios, Anthony G., and Frank M. Caimi. "High-rate wireless data communications: An underwater acoustic communications framework at the physical layer." Mathematical Problems in Engineering 2, no. 6 (1996): 449–85. http://dx.doi.org/10.1155/s1024123x96000439.

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A variety of signal processing functions are performed by Underwater Acoustic Systems. These include: 1) detection to determine presence or absence of information signals in the presence of noise, or an attempt to describe which of a predetermined finite set of possible messages{mi,i,...,M}the signal represents; 2) estimation of some parameterθˆassociated with the received signal (i.e. range, depth, bearing angle, etc.); 3) classification and source identification; 4) dynamics tracking; 5) navigation (collision avoidance and terminal guidance); 6) countermeasures; and 7) communications. The fo
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Bhatt, Maharshi K., Bhavin S. Sedani, and Komal Borisagar. "Performance analysis of massive multiple input multiple output for high speed railway." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (2021): 5180. http://dx.doi.org/10.11591/ijece.v11i6.pp5180-5188.

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This paper analytically reviews the performance of massive multiple input multiple output (MIMO) system for communication in highly mobility scenarios like high speed Railways. As popularity of high speed train increasing day by day, high data rate wireless communication system for high speed train is extremely required. 5G wireless communication systems must be designed to meet the requirement of high speed broadband services at speed of around 500 km/h, which is the expected speed achievable by HSR systems, at a data rate of 180 Mbps or higher. Significant challenges of high mobility communi
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Gao, Meilin, Bo Ai, Yong Niu, Zhewei Zhang, Yanqing Xu, and Dapeng Li. "Resource allocation in D2D-aided high-speed railway wireless communication systems: a matching theory approach." China Communications 14, no. 12 (2017): 87–99. http://dx.doi.org/10.1109/cc.2017.8246339.

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Abuella, Hisham, Sabit Ekin, Samir Ahmed, Farshad Miramirkhani, Burak Kebapci, and Murat Uysal. "Wireless Sensing using Vehicle Headlamps for Intelligent Transportation Systems: Proof of Concept." MATEC Web of Conferences 271 (2019): 06004. http://dx.doi.org/10.1051/matecconf/201927106004.

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Vehicular communication and sensing technologies are mainly based on the conventional radio frequency (RF) or laser technologies. These systems suffer from several issues such as RF interference and poor performance in scenarios where the incidence angle between the speed detector and the vehicle is rapidly varying. Introducing a new sensing technology will add diversity to these systems and enhance the reliability of the real-time data. In this study, we investigate our speed estimation sensing system named “Visible Light Detection and Ranging (ViLDAR)”. ViLDAR utilizes visible light sensing
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Zhao, Yanrong, Xiyu Wang, Gongpu Wang, Ruisi He, Yulong Zou, and Zhuyan Zhao. "Channel estimation and throughput evaluation for 5G wireless communication systems in various scenarios on high speed railways." China Communications 15, no. 4 (2018): 86–97. http://dx.doi.org/10.1109/cc.2018.8357743.

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Lian, Jie, Yan Gao, Peng Wu, and Dianbin Lian. "Orthogonal Frequency Division Multiplexing Techniques Comparison for Underwater Optical Wireless Communication Systems." Sensors 19, no. 1 (2019): 160. http://dx.doi.org/10.3390/s19010160.

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Optical wireless communication is an energy-efficient and cost-effective solution for high-speed and highly-secure wireless connections. In this paper, we compare, discuss, and analyze three popular optical orthogonal frequency division multiplexing (OFDM) techniques, such as DC-biased optical OFDM (DCO-OFDM), asymmetrically-clipped optical OFDM (ACO-OFDM), and unipolar OFDM (U-OFDM), for underwater optical wireless communication systems. The peak power constraint, bandwidth limit of the light source, turbulence fading underwater channel, and the channel estimation error are taken into account
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Chen, Hua-Ching, Chia-Lun Wu, Jwo-Shiun Sun, and Hsuan-Ming Feng. "Carrier Current Line Systems Technologies in M2M Architecture for Wireless Communication." Journal of Sensors 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/2652310.

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This paper investigates the Carrier Current Line Systems (CCLS) technologies of Machine to Machine (M2M) architecture which applied for mobile station coverage working with metro, high speed railway, and subway such as analysis for public transport of an indoor transition system. It is based on the theory and practical engineering principle which provide guidelines and formulas for link budget design to help designers fully control and analyze the single output power of uplink and downlink between Fiber Repeaters (FR) and mobile station as well as base station. Finally, the results of this lea
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Dhanasekaran, S., and J. Ramesh. "Channel estimation using spatial partitioning with coalitional game theory (SPCGT) in wireless communication." Wireless Networks 27, no. 3 (2021): 1887–99. http://dx.doi.org/10.1007/s11276-020-02528-4.

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Waseem, Athar, Aqdas Naveed, Sardar Ali, Muhammad Arshad, Haris Anis, and Ijaz Mansoor Qureshi. "Compressive Sensing Based Channel Estimation for Massive MIMO Communication Systems." Wireless Communications and Mobile Computing 2019 (May 27, 2019): 1–15. http://dx.doi.org/10.1155/2019/6374764.

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Massive multiple-input multiple-output (MIMO) is believed to be a key technology to get 1000x data rates in wireless communication systems. Massive MIMO occupies a large number of antennas at the base station (BS) to serve multiple users at the same time. It has appeared as a promising technique to realize high-throughput green wireless communications. Massive MIMO exploits the higher degree of spatial freedom, to extensively improve the capacity and energy efficiency of the system. Thus, massive MIMO systems have been broadly accepted as an important enabling technology for 5th Generation (5G
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Sun, Hui, Xianyu Wang, Kaixin Yang, and Tongrui Peng. "Analysis of Distributed Wireless Sensor Systems with a Switched Quantizer." Complexity 2021 (July 29, 2021): 1–14. http://dx.doi.org/10.1155/2021/6690761.

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In this article, a switched quantizer is proposed to solve the bandwidth limitation application problem for distributed wireless sensor networks (WSNs). The proposed estimator based on switched quantitative event-triggered Kalman consensus filtering (KCF) algorithm is used to monitor the aircraft cabin environmental parameters when suffering packet loss and path loss issues during the communication process for WSN. The quantization error of the novel switched quantizer structure is bounded, and the corresponding stability theory for the quantitative estimation approach is proved. Compared with
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