The Experts below are selected from a list of 105414 Experts worldwide ranked by ideXlab platform
Andrey P. Trifonov - One of the best experts on this subject based on the ideXlab platform.
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Estimation of the Initial Phase of Narrowband Radio Signal with Unknown Amplitude and Duration
Radioelectronics and Communications Systems, 2018Co-Authors: Andrey P. Trifonov, M. V. Trifonov, Yu. E. Korchagin, K. S. KalashnikovAbstract:The quasi-likelihood and maximum likelihood algorithms for estimating the initial phase of Radio Signal with arbitrary shaped envelope and unknown duration and amplitude have been synthesized. Schematic block diagrams of initial phase meters are proposed. Characteristics of the synthesized algorithms were determined, and errors of the initial phase estimates were compared. The structure of quasi-likelihood estimate of the initial phase is shown to be invariant with respect to the lack of knowledge of Radio Signal amplitude. However, a mismatch between the expected value of Signal duration and its true value can lead to a marked increase of dispersion of the initial phase quasi-likelihood estimate. The loss in accuracy of the initial phase estimate due to a priori lack of knowledge of Signal duration has been determined. Analytical expressions for statistical characteristics of maximum likelihood estimate of initial phase at large Signal-to-noise ratios are shown to coincide asymptotically with the characteristics of maximum likelihood estimate of the initial phase of Radio Signal with a priori known amplitude and duration. Therefore, a priori unknown Signal duration (asymptotically with an increase of Signal-to-noise ratio) does not affect the accuracy of the maximum likelihood estimate of initial phase. The computer methods of statistical simulation were used to determine the applicability limits of asymptotic expressions for characteristics of the maximum likelihood estimate in respect of Signals with linear and exponential envelopes.
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Estimation of the Arrival Time and Duration of a Radio Signal with Unknown Amplitude and Initial Phase
Radiophysics and Quantum Electronics, 2018Co-Authors: Andrey P. Trifonov, Yu. E. Korchagin, S. V. Korol’kovAbstract:We synthesize the quasi-likelihood, maximum-likelihood, and quasioptimal algorithms for estimating the arrival time and duration of a Radio Signal with unknown amplitude and initial phase. The discrepancies between the hardware and software realizations of the estimation algorithm are shown. The characteristics of the synthesized-algorithm operation efficiency are obtained. Asymptotic expressions for the biases, variances, and the correlation coefficient of the arrival-time and duration estimates, which hold true for large Signal-to-noise ratios, are derived. The accuracy losses of the estimates of the Radio-Signal arrival time and duration because of the a priori ignorance of the amplitude and initial phase are determined.
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Maximum Likelihood Estimate of the Arrival Time of Ultra-Wideband Quasi-Radio Signal with Unknown Amplitude and Phase
Radioelectronics and Communications Systems, 2018Co-Authors: Andrey P. Trifonov, P. Ye. RudnevAbstract:The maximum likelihood algorithm for estimating the arrival time of ultra-wideband quasi-Radio Signal with unknown amplitude and phase has been synthesized. The duration of the specified Signal can amount to several periods or a fraction of harmonic oscillation period. The realization of maximum likelihood algorithm (ML) for estimating the arrival time of ultra-wideband quasi-Radio Signal is shown to be appreciably more complex than the realization of ML algorithm for estimating the arrival time of narrowband Radio Signal. The probability of reliable estimate, bias and scattering of ML estimate of the arrival time of ultra-wideband quasi-Radio Signal have been found with due regard for anomalous errors making it possible to investigate its threshold properties. The computer methods of statistical simulation were used to determine the performance efficiency of the synthesized algorithm of ML estimate and the limits of the application scope of obtained asymptotically exact (with the rise of Signal-to-noise ratio) formulas for the characteristics of time arrival estimate of ultra-wideband quasi-Radio Signal with unknown amplitude and phase.
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Estimation of ultrawideband quasi-Radio Signal duration
Radioelectronics and Communications Systems, 2017Co-Authors: Andrey P. Trifonov, Yu. E. Korchagin, Konstantin D. TitovAbstract:Quasi-likelihood and maximum likelihood algorithms of duration estimation for ultra-wideband quasi-Radio Signal of arbitrary shape with unknown amplitude and initial phase, influenced by additive Gaussian white noise, are synthesized. It was considered that conditions of relatively narrow band of received Signal are not satisfied and its duration can constitute only several periods or a fraction of period of harmonic oscillation. It is shown that the structure of the algorithm for duration estimation of ultra-wideband quasi-Radio Signal is significantly different from the structure of duration estimation algorithm for narrowband Radio Signal. Relative bias and variance are determined as the statistical characteristics of synthesized duration estimates. The influence of unknown amplitude and initial phase on the accuracy of duration estimation is investigated. Quantitative limits for relation of Signal bandwidth to its center frequency are formulated, such that the classical solution of the problem of duration estimation for narrowband Radio Signal possesses the required accuracy.
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Detection of Radio Signals that appear and disappear at unknown moments
Journal of Communications Technology and Electronics, 2015Co-Authors: Andrey P. Trifonov, Yu. E. Korchagin, Oleg V. Chernoyarov, Boris I. ShakhtarinAbstract:The most plausible algorithm for the detection of a Radio Signal with unknown amplitude, phase and the moments of appearance and disappearance is synthesized. A two-channel quasi-optimal detector of Radio Signal the structure of which is simpler than the structure of the optimal detector is proposed. Asymptotic characteristics of the quasi-optimal detector are determined.
P. Ye. Rudnev - One of the best experts on this subject based on the ideXlab platform.
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Maximum Likelihood Estimate of the Arrival Time of Ultra-Wideband Quasi-Radio Signal with Unknown Amplitude and Phase
Radioelectronics and Communications Systems, 2018Co-Authors: Andrey P. Trifonov, P. Ye. RudnevAbstract:The maximum likelihood algorithm for estimating the arrival time of ultra-wideband quasi-Radio Signal with unknown amplitude and phase has been synthesized. The duration of the specified Signal can amount to several periods or a fraction of harmonic oscillation period. The realization of maximum likelihood algorithm (ML) for estimating the arrival time of ultra-wideband quasi-Radio Signal is shown to be appreciably more complex than the realization of ML algorithm for estimating the arrival time of narrowband Radio Signal. The probability of reliable estimate, bias and scattering of ML estimate of the arrival time of ultra-wideband quasi-Radio Signal have been found with due regard for anomalous errors making it possible to investigate its threshold properties. The computer methods of statistical simulation were used to determine the performance efficiency of the synthesized algorithm of ML estimate and the limits of the application scope of obtained asymptotically exact (with the rise of Signal-to-noise ratio) formulas for the characteristics of time arrival estimate of ultra-wideband quasi-Radio Signal with unknown amplitude and phase.
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Efficiency of ultra-wideband quasi-Radio Signal’s frequency estimation
Radioelectronics and Communications Systems, 2011Co-Authors: Andrey P. Trifonov, P. Ye. RudnevAbstract:Synthesis and analysis of maximum likelihood algorithms for estimating frequency of ultra-wideband quasi-Radio Signal with unknown parameters and duration of several periods or a fraction of period of harmonic oscillation are conducted. Dispersions of the synthesized estimates are obtained.
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Phase estimation characteristics of ultra-wideband quasi-Radio Signal
Radioelectronics and Communications Systems, 2011Co-Authors: Andrey P. Trifonov, P. Ye. RudnevAbstract:Synthesis and analysis of the maximum likelihood algorithm for estimating the phase of ultra-wideband quasi-Radio Signal with unknown amplitude and phase are performed. Duration of the specified Signal may amount to several periods or a fraction of the period of harmonic oscillation. Characteristics of the classical maximum likelihood phase estimate of a narrow-band Radio Signal are found when receiving an ultra-wideband quasi-Radio Signal. Applicability conditions of narrow-band Radio Signal model are defined for solving the problem of phase estimation with the specified accuracy.
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Characteristics of estimating the amplitude of ultrawideband quasi-Radio Signal
Radioelectronics and Communications Systems, 2010Co-Authors: Andrey P. Trifonov, P. Ye. RudnevAbstract:Thesynthesis and analysis of the maximum likelihood algorithm for estimating the amplitude of ultrawideband quasi-Radio Signal with unknown amplitude and phase have been performed. The duration of the specified Signal can amount to several periods or a fraction of the period of harmonic oscillation. The characteristics of the classical maximum likelihood estimate of the amplitude of a narrow-band Radio Signal were found while receiving an ultrawideband quasi-Radio Signal. The conditions of applicability of the model of narrow-band Radio Signal were defined for solving the problem of amplitude estimation with the specified accuracy.
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Detection of an ultra-wideband quasi Radio Signal against background random noise
Radiophysics and Quantum Electronics, 2009Co-Authors: Andrey P. Trifonov, P. Ye. RudnevAbstract:We perform synthesis and analysis of the maximum-likelihood detector of an ultra-wideband quasi Radio Signal whose duration may amount to several periods or even a fraction of a period of harmonic oscillation with unknown amplitude and phase. Characteristics of the classical quadrature detector on receipt of the ultra-wideband quasi Radio Signal are found. Applicability conditions of the model of a narrow-band Radio Signal for solving the detection problem to specified accuracy are formulated.
Moonjeong Chang - One of the best experts on this subject based on the ideXlab platform.
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ICOIN - A Transport Layer Mobility Support Mechanism
Lecture Notes in Computer Science, 2004Co-Authors: Moonjeong ChangAbstract:Recently, mobile SCTP (mSCTP) has been proposed as a transport layer approach for supporting mobility. mSCTP is based on the ’multi-homing’ feature of Stream Control Transmission Protocol (SCTP), and utilize the functions to dynamically add or delete IP addresses of end points to or from the existing connection in order to support mobility. In this paper, we propose a mechanism to determine when to add or delete an IP address, utilizing the link layer Radio Signal strength information in order to enhance the performance of mSCTP. We also propose a mechanism for a mobile node to initiate the change of data delivery path based on link layer Radio Signal strength information. The simulation results show that the performance of proposed transport layer mobility support mechanism is competitive compared to the traditional network layer mobility supporting approach. Especially, when the moving speed of mobile node is fast, it shows better performance than the traditional network layer approach.
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a transport layer mobility support mechanism
International Conference on Information Networking, 2004Co-Authors: Moonjeong Chang, Meejeong Lee, Seok Joo KohAbstract:Recently, mobile SCTP (mSCTP) has been proposed as a transport layer approach for supporting mobility. mSCTP is based on the ’multi-homing’ feature of Stream Control Transmission Protocol (SCTP), and utilize the functions to dynamically add or delete IP addresses of end points to or from the existing connection in order to support mobility. In this paper, we propose a mechanism to determine when to add or delete an IP address, utilizing the link layer Radio Signal strength information in order to enhance the performance of mSCTP. We also propose a mechanism for a mobile node to initiate the change of data delivery path based on link layer Radio Signal strength information. The simulation results show that the performance of proposed transport layer mobility support mechanism is competitive compared to the traditional network layer mobility supporting approach. Especially, when the moving speed of mobile node is fast, it shows better performance than the traditional network layer approach.
Vijay Kumar - One of the best experts on this subject based on the ideXlab platform.
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online methods for Radio Signal mapping with mobile robots
International Conference on Robotics and Automation, 2010Co-Authors: Jonathan Fink, Vijay KumarAbstract:In this paper we explore methods for the online mapping of received Radio Signal strength with mobile robots and localizing the source of the Radio Signal. By utilizing Gaussian processes, we are able to build an online model of the Signal-strength map that can, in turn, be used to provide the current maximum likelihood estimate of the source location. Furthermore, using the estimate of the source location, the Gaussian process model allows for prediction of received Signal strength with confidence bounds in regions of the environment that have not been explored. Finally, we develop a control law for collecting samples of the Signal strength with mobile robots that allows for online estimation of the Radio Signal source.
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ICRA - Online methods for Radio Signal mapping with mobile robots
2010 IEEE International Conference on Robotics and Automation, 2010Co-Authors: Jonathan Fink, Vijay KumarAbstract:In this paper we explore methods for the online mapping of received Radio Signal strength with mobile robots and localizing the source of the Radio Signal. By utilizing Gaussian processes, we are able to build an online model of the Signal-strength map that can, in turn, be used to provide the current maximum likelihood estimate of the source location. Furthermore, using the estimate of the source location, the Gaussian process model allows for prediction of received Signal strength with confidence bounds in regions of the environment that have not been explored. Finally, we develop a control law for collecting samples of the Signal strength with mobile robots that allows for online estimation of the Radio Signal source.
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experimental characterization of Radio Signal propagation in indoor environments with application to estimation and control
Intelligent Robots and Systems, 2009Co-Authors: Jonathan Fink, Nathan Michael, Alex Kushleyev, Vijay KumarAbstract:We study Radio Signal propagation in indoor environments using low-power devices leveraging the Zigbee and Bluetooth specifications. We present results from experiments where two robots equipped with Radio Signal devices and enabled to control and localize autonomously in an indoor hallway and laboratory environment densely sample RSSI at various times over several days. We show that simulated RSSI measurements using existing Radio Signal models and experimentally gathered RSSI measurements match closely, suggesting that for robotics applications requiring predicted RSSI, low-power Radio Signal devices are a well-posed sensing modality.
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IROS - Experimental characterization of Radio Signal propagation in indoor environments with application to estimation and control
2009 IEEE RSJ International Conference on Intelligent Robots and Systems, 2009Co-Authors: Jonathan Fink, Nathan Michael, Alex Kushleyev, Vijay KumarAbstract:We study Radio Signal propagation in indoor environments using low-power devices leveraging the Zigbee and Bluetooth specifications. We present results from experiments where two robots equipped with Radio Signal devices and enabled to control and localize autonomously in an indoor hallway and laboratory environment densely sample RSSI at various times over several days. We show that simulated RSSI measurements using existing Radio Signal models and experimentally gathered RSSI measurements match closely, suggesting that for robotics applications requiring predicted RSSI, low-power Radio Signal devices are a well-posed sensing modality.
Jonathan Fink - One of the best experts on this subject based on the ideXlab platform.
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online methods for Radio Signal mapping with mobile robots
International Conference on Robotics and Automation, 2010Co-Authors: Jonathan Fink, Vijay KumarAbstract:In this paper we explore methods for the online mapping of received Radio Signal strength with mobile robots and localizing the source of the Radio Signal. By utilizing Gaussian processes, we are able to build an online model of the Signal-strength map that can, in turn, be used to provide the current maximum likelihood estimate of the source location. Furthermore, using the estimate of the source location, the Gaussian process model allows for prediction of received Signal strength with confidence bounds in regions of the environment that have not been explored. Finally, we develop a control law for collecting samples of the Signal strength with mobile robots that allows for online estimation of the Radio Signal source.
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ICRA - Online methods for Radio Signal mapping with mobile robots
2010 IEEE International Conference on Robotics and Automation, 2010Co-Authors: Jonathan Fink, Vijay KumarAbstract:In this paper we explore methods for the online mapping of received Radio Signal strength with mobile robots and localizing the source of the Radio Signal. By utilizing Gaussian processes, we are able to build an online model of the Signal-strength map that can, in turn, be used to provide the current maximum likelihood estimate of the source location. Furthermore, using the estimate of the source location, the Gaussian process model allows for prediction of received Signal strength with confidence bounds in regions of the environment that have not been explored. Finally, we develop a control law for collecting samples of the Signal strength with mobile robots that allows for online estimation of the Radio Signal source.
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experimental characterization of Radio Signal propagation in indoor environments with application to estimation and control
Intelligent Robots and Systems, 2009Co-Authors: Jonathan Fink, Nathan Michael, Alex Kushleyev, Vijay KumarAbstract:We study Radio Signal propagation in indoor environments using low-power devices leveraging the Zigbee and Bluetooth specifications. We present results from experiments where two robots equipped with Radio Signal devices and enabled to control and localize autonomously in an indoor hallway and laboratory environment densely sample RSSI at various times over several days. We show that simulated RSSI measurements using existing Radio Signal models and experimentally gathered RSSI measurements match closely, suggesting that for robotics applications requiring predicted RSSI, low-power Radio Signal devices are a well-posed sensing modality.
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IROS - Experimental characterization of Radio Signal propagation in indoor environments with application to estimation and control
2009 IEEE RSJ International Conference on Intelligent Robots and Systems, 2009Co-Authors: Jonathan Fink, Nathan Michael, Alex Kushleyev, Vijay KumarAbstract:We study Radio Signal propagation in indoor environments using low-power devices leveraging the Zigbee and Bluetooth specifications. We present results from experiments where two robots equipped with Radio Signal devices and enabled to control and localize autonomously in an indoor hallway and laboratory environment densely sample RSSI at various times over several days. We show that simulated RSSI measurements using existing Radio Signal models and experimentally gathered RSSI measurements match closely, suggesting that for robotics applications requiring predicted RSSI, low-power Radio Signal devices are a well-posed sensing modality.
