Relevant bibliographies by topics / Channel tracking

Academic literature on the topic 'Channel tracking'

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Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Channel tracking"

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Kao, Yang-Ta, Hsiau-Wen Lin, and Dai-Yi Qiu. "Implementation of Offline Consumer Behavior Tracking." International Journal of Pattern Recognition and Artificial Intelligence 35, no. 09 (May 4, 2021): 2150028. http://dx.doi.org/10.1142/s0218001421500282.

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Due to declining trading volume growth in e-commerce platforms, physical channels have attracted considerable investments from various large international companies (e.g. Alibaba, JD, Walmart, Wanda, and Wuzhou International). However, e-commerce platforms can track consumers’ behaviors (attraction to landing page design, clicks on certain products, consumer behavior trajectory tracking, clicks on advertisements, and internal link optimization of product pages), a feat unachievable in current physical channels. Consequently, this study attempted to apply the characteristics of online channels in a physical channel by using image object tracking and image detection techniques. Through this inclusion, physical channels are capable of providing consumers with more favorable experience and interaction, and brick-and-mortar store owners can obtain a more accurate understanding of consumer behaviors of store consumers. Information acquired through this system can be provided to store owners to serve as reference for merchandise placement, arrangement of display shelves, and consumer circulation path planning. This study used the technique of image processing to locate the Region of Interest and applied object tracking to get the consumer’s trajectory which successfully implemented the consumer-tracking characteristics of online platforms in a physical channel while retaining the unique experience of the physical channel. This results in a win–win scenario for businesses and consumers.
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Kohli, Amit Kumar, Amrita Rai, and Meher Krishna Patel. "Variable Forgetting Factor LS Algorithm for Polynomial Channel Model." ISRN Signal Processing 2011 (December 30, 2011): 1–4. http://dx.doi.org/10.5402/2011/915259.

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Variable forgetting factor (VFF) least squares (LS) algorithm for polynomial channel paradigm is presented for improved tracking performance under nonstationary environment. The main focus is on updating VFF when each time-varying fading channel is considered to be a first-order Markov process. In addition to efficient tracking under frequency-selective fading channels, the incorporation of proposed numeric variable forgetting factor (NVFF) in LS algorithm reduces the computational complexity.
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Li, Yongzhi, Cheng Tao, Yapeng Li, Liu Liu, and Tao Zhou. "Investigation of Sphere Decoder and Channel Tracking Algorithms for Media-Based Modulation over Time-Selective Channels." Wireless Communications and Mobile Computing 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/2509824.

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The performance of media-based modulation (MBM) systems, where additional information can be conveyed by the indices of the channel states created by RF mirrors, over time-selective channels is investigated. By transforming the MBM system model into a traditional MIMO system model, we first propose a reduced complexity sphere decoder algorithm. Then two channel tracking algorithms, which are based on least mean square adaptive filter and recursive least-squares adaptive filter, are employed in order to combat the performance loss caused by the time-varying channels. Numerical results show that the proposed sphere decoder and these two channel tracking algorithms perform well in MBM systems.
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Vollmer, Mario, Swen Zaremba, Pierre Mertiny, and Klaus Drechsler. "Edge Race-Tracking during Film-Sealed Compression Resin Transfer Molding." Journal of Composites Science 5, no. 8 (July 21, 2021): 195. http://dx.doi.org/10.3390/jcs5080195.

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Edge race-tracking is a frequently reported issue during resin transfer molding. It is caused by highly permeable channels and areas between the preform edge and cavity, which can significantly change the preform impregnation pattern. To date, information is scarce on the effect of edge race-tracking in compression resin transfer molding (CRTM). To close this gap, laboratory equipment was developed to study the CRTM preform impregnation via flow visualization experiments. The preform was thereby encapsulated in thin thermoplastic films sealing its impregnation. Film-sealed compression resin transfer molding (FS-CRTM) experiments of preforms with a small geometrical aspect ratio showed fast filling of the injection gap and a subsequent through-thickness preform impregnation. Creating an edge race-tracking channel, an additional lateral in-plane flow from the channel towards the preform center was observed, initiating soon after the injection started and caused by the spatial connection between the injection gap and the race-tracking channel. To diminish edge race-tracking, a passive flow control strategy was implemented via a split design of the upper tool to spatially isolate the injection gap from the channel and to pre-compact the preform edge. A delayed and reduced lateral race-tracking flow was observed, showing that the passive flow control strategy increases the process robustness of FS-CRTM regarding edge race-tracking effects.
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Yu, Jiyong, Mengjia Yan, Artem Khyzha, Adam Morrison, Josep Torrellas, and Christopher W. Fletcher. "Speculative taint tracking (STT)." Communications of the ACM 64, no. 12 (December 2021): 105–12. http://dx.doi.org/10.1145/3491201.

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Speculative execution attacks present an enormous security threat, capable of reading arbitrary program data under malicious speculation, and later exfiltrating that data over microarchitectural covert channels. This paper proposes speculative taint tracking (STT), a high security and high performance hardware mechanism to block these attacks. The main idea is that it is safe to execute and selectively forward the results of speculative instructions that read secrets, as long as we can prove that the forwarded results do not reach potential covert channels. The technical core of the paper is a new abstraction to help identify all micro-architectural covert channels, and an architecture to quickly identify when a covert channel is no longer a threat. We further conduct a detailed formal analysis on the scheme in a companion document. When evaluated on SPEC06 workloads, STT incurs 8.5% or 14.5% performance overhead relative to an insecure machine.
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YANG, QINGHAI, and KYUNG SUP KWAK. "PILOT-AIDED MULTIUSER CHANNEL ESTIMATION AND TRACKING IN MIMO-OFDM SYSTEMS." Journal of Circuits, Systems and Computers 16, no. 03 (June 2007): 319–35. http://dx.doi.org/10.1142/s0218126607003691.

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This paper addresses the pilot-aided multiuser least square (LS) channel estimation for the uplink of multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. The systems under consideration allow all users use all available subcarriers independently and thus involve multiuser interference in the frequency domain. Direct application of the known pilot-aided single-user channel estimation methods to these systems is prohibited, requiring much more new investigations. The decentralized and centralized channel estimation algorithms are developed according to different multiuser scenarios. Optimal multiuser pilots are proposed, especially for centralized estimation methods with respect to the mean square error (MSE) of LS channel estimate. In addition, channel tracking algorithms are represented in terms of individual user's channels.
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Dahiya, Suresh, and Arun Kumar Singh. "Channel estimation and channel tracking for correlated block-fading channels in massive MIMO systems." Digital Communications and Networks 4, no. 2 (April 2018): 138–47. http://dx.doi.org/10.1016/j.dcan.2017.07.006.

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Pham, Phuong Thi Thu, and Tomohisa Wada. "Effective Scheme of Channel Tracking and Estimation for Mobile WiMAX DL-PUSC System." Journal of Computer Systems, Networks, and Communications 2010 (2010): 1–9. http://dx.doi.org/10.1155/2010/806279.

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This paper introduces an effective joint scheme of channel estimation and tracking for downlink partial usage of subchannel (DL-PUSC) mode of mobile WiMAX system. Based on the pilot pattern of this particular system, some channel estimation methods including conventional interpolations and a more favorable least-squares line fitting (LSLF) technique are comparatively studied. Besides, channel estimation performance can be remarkably improved by taking advantage of channel tracking derived from the preamble symbol. System performances in terms of packet error rate (PER) and user link throughput are investigated in various channels adopted from the well-known ITU models for mobile environments. Simulation results show a significant performance enhancement when the proposed joint scheme is utilized, at least 5 dB, compared to only commonly used channel estimation approaches.
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Siddiq, Abdulrahman Ikram. "Variable Length Cyclic Prefix OFDM using Multipath Delay Tracking." Tikrit Journal of Engineering Sciences 18, no. 2 (June 30, 2011): 12–21. http://dx.doi.org/10.25130/tjes.18.2.02.

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The Cyclic Prefix (CP) technique is widely used in Orthogonal Frequency Division Multiplexing (OFDM) systems. A CP of length greater than the channel order guarantees the orthogonality of the consecutive OFDM symbols. Therefore, the effects of Inter Symbol Interference (ISI) and Inter Carrier Interference (ICI) are cancelled. On the other hand, CP reduces the transmission efficiency.Conventional OFDM systems use constant length CP. For time varying channels, CP length may become shorter than channel order resulting in considerable loss in orthogonality and performance degradation. Otherwise, when CP length becomes much greater than channel order it results with time and power wasting, and hence decreasing transmission efficiency.This paper proposes the usage of a multipath delay-tracking module to provide the OFDM system with the actual channel order and accordingly the suitable CP length will be determined. Computer simulations show that the proposed system saves about 47.6% of the time and power spent by the same constant length CP OFDM system tested under the same conditions.
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Becker, Johannes K., David Li, and David Starobinski. "Tracking Anonymized Bluetooth Devices." Proceedings on Privacy Enhancing Technologies 2019, no. 3 (July 1, 2019): 50–65. http://dx.doi.org/10.2478/popets-2019-0036.

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Abstract Bluetooth Low Energy (BLE) devices use public (non-encrypted) advertising channels to announce their presence to other devices. To prevent tracking on these public channels, devices may use a periodically changing, randomized address instead of their permanent Media Access Control (MAC) address. In this work we show that many state-of-the-art devices which are implementing such anonymization measures are vulnerable to passive tracking that extends well beyond their address randomization cycles. We show that it is possible to extract identifying tokens from the pay-load of advertising messages for tracking purposes. We present an address-carryover algorithm which exploits the asynchronous nature of payload and address changes to achieve tracking beyond the address randomization of a device. We furthermore identify an identity-exposing attack via a device accessory that allows permanent, non-continuous tracking, as well as an iOS side-channel which allows insights into user activity. Finally, we provide countermeasures against the presented algorithm and other privacy flaws in BLE advertising.
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Dissertations / Theses on the topic "Channel tracking"

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Mohanty, Nirode. "Phase Tracking Error in a Fading Channel." International Foundation for Telemetering, 1987. http://hdl.handle.net/10150/615322.

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International Telemetering Conference Proceedings / October 26-29, 1987 / Town and Country Hotel, San Diego, California
The phase tracking error of the reception of a QPSK signal transmitted in a severe fading environment is derived. The phase estimate derived from the phase lock loop (PLL) will be used by a binary phase shift keying (BPSK) receiver for the recovery of the data. The resultant probability of bit error is analyzed, and is shoen to be significantly improved when the phase of the transmitted signal is tracked by a PLL separately and utilized in the coherent detection.
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Kho, Yau Hee. "MIMO Receiver Structures with Integrated Channel Estimation and Tracking." Thesis, University of Canterbury. Electrical and Computer Engineering, 2008. http://hdl.handle.net/10092/1264.

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This thesis looks at the problem of channel estimation and equalization in a multiple-input multiple-output (MIMO) dispersive fading environments. Two classes of MIMO receiver structure are proposed with integrated channel estimation and tracking. One is a symbol-by-symbol based receiver using a MIMO minimum mean square error (MMSE) decision feedback equalizer (DFE), and the other is a sequence-based receiver using a partitioned Viterbi algorithm (PVA) which approaches the performance of maximum likelihood sequence estimation (MLSE). A MIMO channel estimator capable of tracking the time and frequency selective channel impulse responses, known as the vector generalized recursive least squares (VGRLS) algorithm, is developed. It has comparable performance and a similar level of complexity as the optimum Kalman filter. However, it does not require any knowledge of the channel statistics to operate and as such it can be employed in a Rician fading channel readily. A reduced complexity form of the estimator, known as the vector generalized least mean squares (VGLMS) algorithm, is also developed. This is achieved by replacing the online recursive computation of the VGRLS algorithm's 'intermediate' Riccatti matrix with an offline pre-computed matrix. This reduces the complexity of the algorithm by an order of a magnitude, but at the expense of degraded performance. The estimators are integrated with the above-mentioned equalizers in a decision directed mode to form a receiver structure that can operate in continuously time-varying fading channels. Due to decision delays, the outputs from the equalizer are delayed and this then produces 'delayed' channel estimates. A simple polynomial-based channel prediction module is employed to provide up-to-date channel estimates required by the equalizers. However, simulation results show that the channel prediction module may be omitted for a very slowly fading channel where the channel responses do not vary much. In the case of the PVA- receiver, the zero-delay tentative decisions are used as feedback to the channel estimators with negligible loss.
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Mongol, Bayarpurev, Takaya Yamazato, and Masaaki Katayama. "Channel Estimation and Tracking Schemes for the Pulse-Shaping OFDM Systems." IEEE, 2009. http://hdl.handle.net/2237/13975.

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Tu, Chao-Cheng. "Subspace-based blind channel estimation and tracking for MIMO-OFDM systems." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=94926.

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Multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) is now widely considered as a favored technology for emerging and future generation wireless systems. MIMO-OFDM aims to achieve increased channel capacity limit by exploiting the use of multiple antennas in combination with multi-carrier orthogonal modulation. While the possibility of achieving this limit is bestowed on the invention of capacity-achieving coding and decoding techniques, in reality, this prospect relies heavily on the existence and use of advanced channel estimation techniques. To facilitate fast and reliable channel estimation in MIMO-OFDM systems, pilot symbol insertion is usually considered; however, the channel capacity is greatly reduced by inserting those pilot symbols. Therefore, employing fast-converging and reliable blind channel estimation for MIMO-OFDM seems to be an attractive solution for future wireless systems. To this end, blind channel estimation based on second order statistics (SOS), instead of higher order statistics (HOS), has been widely considered as a suitable candidate. Amid SOS-based blind approaches, subspace-based estimation is attractive since reliable estimates can often be obtained in a simple form by optimizing a quadratic cost function. Nonetheless, the performance of the subspace-based blind channel estimators may still be seriously degraded under time-varying conditions. This problem can generally make overall performance unsatisfactory, especially in MIMO-OFDM systems whose number of subcarriers is large. In order to overcome this limitation and successfully employ subspace-based channel estimation in MIMO-OFDM systems, it is essential to minimize the required length of the underlying time averaging period. In this thesis, we propose a new subspace-based blind channel estimator that requires only a comparably short time averaging period. We consider the design of such an estimator directly in the frequency domain, as o
Le multiplexage par répartition en fréquences orthogonales (orthogonal frequency division multiplexing, soit OFDM) à entrées et à sorties multiples (multiple-input multiple-output, soit MIMO) est maintenant généralement considéré comme une technologie à préconiser pour les nouveaux systèmes sans fil et ceux des générations ultérieures. Le MIMO-OFDM vise à augmenter la limite de capacité Shannon en combinant l'utilisation d'antennes multiples et la modulation orthogonale multiporteuse. Bien que la possibilité d'atteindre cette limite soit possible grâce à l'invention de techniques d'encodage et de décodage atteignant la capacité, en réalité, cette perspective d'avenir se base en grande partie sur l'existence et l'utilisation de techniques d'estimation de voie avancées. Pour faciliter l'estimation de voie rapide et fiable dans les systèmes MIMO-OFDM, on songe habituellement à l'insertion de symboles pilotes; cependant, la capacité de la voie est grandement réduite par leur insertion. L'utilisation d'estimation de voie aveugle fiable et à convergence rapide pour les MIMO-OFDM semble donc être une solution attrayante pour les futurs systèmes sans fil. À cette fin, l'estimation de voie aveugle basée sur des statistiques de deuxième ordre, au lieu des statistiques d'ordre supérieur, est généralement considérée comme une candidate acceptable. Parmi les approches aveugles basées sur les statistiques de deuxième ordre, l'estimation basée dans le sous-espace est attrayante, puisque des estimations fiables peuvent souvent être obtenues de façon simple en optimisant une fonction de coût quadratique. Néanmoins, la performance des estimateurs de voie aveugles basés dans le sous-espace peut être gravement dégradée dans des conditions instationnaires. Ce problème peut habituellement rendre la performance globalement insatisfaisante, surtout dans les systèmes MIMO-OFDM avec un nombre de sous-porteuses élevé. Afin de compen
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David, Radu Alin. "Improving Channel Estimation and Tracking Performance in Distributed MIMO Communication Systems." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-dissertations/229.

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This dissertation develops and analyzes several techniques for improving channel estimation and tracking performance in distributed multi-input multi-output (D-MIMO) wireless communication systems. D-MIMO communication systems have been studied for the last decade and are known to offer the benefits of antenna arrays, e.g., improved range and data rates, to systems of single-antenna devices. D-MIMO communication systems are considered a promising technology for future wireless standards including advanced cellular communication systems. This dissertation considers problems related to channel estimation and tracking in D-MIMO communication systems and is focused on three related topics: (i) characterizing oscillator stability for nodes in D-MIMO systems, (ii) the development of an optimal unified tracking framework and a performance comparison to previously considered sub-optimal tracking approaches, and (iii) incorporating independent kinematics into dynamic channel models and using accelerometers to improve channel tracking performance. A key challenge of D-MIMO systems is estimating and tracking the time-varying channels present between each pair of nodes in the system. Even if the propagation channel between a pair of nodes is time-invariant, the independent local oscillators in each node cause the carrier phases and frequencies and the effective channels between the nodes to have random time-varying phase offsets. The first part of this dissertation considers the problem of characterizing the stability parameters of the oscillators used as references for the transmitted waveforms. Having good estimates of these parameters is critical to facilitate optimal tracking of the phase and frequency offsets. We develop a new method for estimating these oscillator stability parameters based on Allan deviation measurements and compare this method to several previously developed parameter estimation techniques based on innovation covariance whitening. The Allan deviation method is validated with both simulations and experimental data from low-precision and high-precision oscillators. The second part of this dissertation considers a D-MIMO scenario with $N_t$ transmitters and $N_r$ receivers. While there are $N_t imes N_r$ node-to-node pairwise channels in such a system, there are only $N_t + N_r$ independent oscillators. We develop a new unified tracking model where one Kalman filter jointly tracks all of the pairwise channels and compare the performance of unified tracking to previously developed suboptimal local tracking approaches where the channels are not jointly tracked. Numerical results show that unified tracking tends to provide similar beamforming performance to local tracking but can provide significantly better nullforming performance in some scenarios. The third part of this dissertation considers a scenario where the transmit nodes in a D-MIMO system have independent kinematics. In general, this makes the channel tracking problem more difficult since the independent kinematics make the D-MIMO channels less predictable. We develop dynamics models which incorporate the effects of acceleration on oscillator frequency and displacement on propagation time. The tracking performance of a system with conventional feedback is compared to a system with conventional feedback and local accelerometer measurements. Numerical results show that the tracking performance is significantly improved with local accelerometer measurements.
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Atapattu, Lakmali Nadisha Kumari. "Channel tracking in SDMA-based multi-user MIMO-OFDM communications systems." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/65272/1/Lakmali_Atapattu_Thesis.pdf.

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Capacity of current and future high data rate wireless communications depend significantly on how well changes in the wireless channel are predicted and tracked. Generally, this can be estimated by transmitting known symbols. However, this increases overheads if the channel varies over time. Given today’s bandwidth demand and the increased necessity for mobile wireless devices, the contributions of this research are very significant. This study has developed a novel and efficient channel tracking algorithm that can recursively update the channel estimation for wireless broadband communications reducing overheads, therefore increasing the speed of wireless communication systems.
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Gupte, Abhishek. "A Method for Tracking the Accuracy of Channel Estimates in MIMO Receivers." International Foundation for Telemetering, 2009. http://hdl.handle.net/10150/605996.

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ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada
Multiple input multiple output communication systems offer significant advantages, but only if the receiver has an accurate estimate of the channel state information (CSI). To obtain a CSI estimate, the transmitter must stop sending data, and instead send a training sequence. To maximize throughput, the time spent sending training data should be minimized. This paper describes a method which allows the receiver to track the accuracy of its CSI estimate, so that it can request new training data only when necessary.
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Sung-hoon, Jang, Han Sung-hee, and Kim Heung-bum. "Auto-tracking antenna pattern effects on multipath channel model at test range." International Foundation for Telemetering, 2001. http://hdl.handle.net/10150/607672.

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International Telemetering Conference Proceedings / October 22-25, 2001 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Telemetry propagation channel is modeled to predict PCM/FM telemetry receiving signal level at APG(Anheung Proving Ground), ADD(Agency for Defense Development). Channel model is composed of direct wave and reflected wave in sea surface, so-called 2-ray model. Our 2-ray model includes transmitting antenna radiation pattern, auto-tracking antenna radiation pattern, sea surface reflection coefficient and phase depending on incident angle. Vertical and horizontal polarized receiving signal strength is obtained from pre-calculated flight trajectory of transmitter. Calculated results are compared with measured data in real flight test. 2-ray channel model can predict almost identical receiving signal level and calculate starting point of multi-path fading effect. Using these results, receiving system can be moved to more proper position before flight test.
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Champion, James. "A 3-CHANNEL MONOPULSE TRACKING RECEIVER SYSTEM USING COMMERCIAL OFF-THE-SHELF EQUIPMENT." International Foundation for Telemetering, 1998. http://hdl.handle.net/10150/607375.

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International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California
Three-channel monopulse tracking receiver systems are commonly used for high performance tracking of satellites, missiles, or aircraft to maximize the reception of data. Typically, the receiver in such systems are custom designed for their end purpose. This results in a high cost to cover the development, service, and support of a highly specialized piece of equipment. This paper covers the requirements and performance of a 3-channel monopulse tracking receiver assembled from commercial-off-the-shelf (COTS) equipment. Such a system provides an option for designing or upgrading tracking stations with the lower cost, larger support base, and greater system configuration choices that are available with COTS equipment.
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Hayman, Rebecca. "A DSP Algorithm for Multi-Channel Maximum Power Point Tracking in Photovoltaic Systems." Honors in the Major Thesis, University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/719.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf
Bachelors
Engineering and Computer Science
Electrical Engineering
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Books on the topic "Channel tracking"

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Hawes, Alison. Landscape detective: Tracking changes in your surroundings. St. Catharines, Ont: Crabtree Pub. Co., 2011.

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Racherla, Naresh Kumar. Logging and tracking file changes on LAN. Oxford: Oxford Brookes University, 2003.

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Tracking discourses: Politics, identity and social change. Lund: Nordic Academic Press, 2011.

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Service, United States Forest. Watershed condition framework: A framework for assessing and tracking changes to watershed condition. Washington, D.C: United States Department of Agriculture, Forest Service, 2011.

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What America lost: Decades that made a difference : tracking attitude changes through handwriting. Bloomington, IN: AuthorHouse, 2009.

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Kahn, James A. Tracking the new economy: Using growth theory to detect changes in trend productivity. [New York, N.Y.]: Federal Reserve Bank of New York, 2003.

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Davey, Judith A. Tracking social change in New Zealand: From birth to death IV. Wellington [N.Z.]: Institute of Policy Studies, 1998.

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Tracking effective indigenous adaptation strategies on impacts of climate variability on food security and health of subsistence farmers in Tanzania. Nairobi, Kenya: African Technology Policy Studies Network, 2011.

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African Technology Policy Studies Network, ed. Tracking effective indigenous adaptation strategies on impacts of climate variability on food security and health of subsistence farmers in Tanzania. Nairobi, Kenya: African Technology Policy Studies Network, 2011.

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Nias building up hope tracking the future: A study on social and cultural change. Jakarta: Yayasan Tanggul Bencana Indonesia, 2007.

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Book chapters on the topic "Channel tracking"

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Che, Manqiang, Runling Wang, Yan Lu, Yan Li, Hui Zhi, and Changzhen Xiong. "Channel Pruning for Visual Tracking." In Lecture Notes in Computer Science, 70–82. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11009-3_3.

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Reynolds, R. S. "A BWR Fuel Channel Tracking System." In Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry, 617–23. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1009-9_75.

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Danelljan, Martin, Gustav Häger, Fahad Shahbaz Khan, and Michael Felsberg. "Coloring Channel Representations for Visual Tracking." In Image Analysis, 117–29. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19665-7_10.

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Pedrosa, Pedro, Rui Dinis, Daniel Castanheira, Adão Silva, and Atílio Gameiro. "Channel Tracking and Equalization for UAV Communications." In Integration of Unmanned Aerial Vehicles in Wireless Communication and Networks, 1–26. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-03880-8_1.

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Song, Yanwu, Shaochuan Wu, Wenbin Zhang, and Huafeng Zhang. "Millimeter Wave Massive MIMO Channel Estimation and Tracking." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 57–69. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22968-9_6.

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Galassi, Alfredo R., Giuseppe Vadalà, Rocco Giunta, Davide Diana, and Giuseppina Novo. "Channel Tracking Guidewire and Technique for Retrograde Approach." In Current Trend and Techniques of Percutaneous Coronary Intervention for Chronic Total Occlusion, 71–77. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3069-2_7.

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Martin, Rainer, and Israel Cohen. "Single-Channel Speech Presence Probability Estimation and Noise Tracking." In Audio Source Separation and Speech Enhancement, 87–106. Chichester, UK: John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119279860.ch6.

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Xu, Jianqiang, and Yao Lu. "Robust Visual Tracking Based on Multi-channel Compressive Features." In MultiMedia Modeling, 341–52. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51811-4_28.

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Zhang, Zhen, Chao Wang, and Xiqun Lu. "An Adaptive Feature Channel Weighting Scheme for Correlation Tracking." In Lecture Notes in Computer Science, 168–83. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30508-6_14.

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Mohamed, Ehab Mahmoud, Osamu Muta, and Hiroshi Furukawa. "Decision Directed Channel Tracking for MIMO-Constant Envelope Modulation." In Communications in Computer and Information Science, 619–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21984-9_51.

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Conference papers on the topic "Channel tracking"

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Prasad, Ranjitha, and K. Giridhar. "Robust Channel Tracking in Fast Fading MIMO channels." In IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference. IEEE, 2008. http://dx.doi.org/10.1109/glocom.2008.ecp.830.

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Huang, S. H., T. C. Yang, and Chen-Fen Huang. "Subspace channel tracking for correlated underwater acoustic communication channels." In the Seventh ACM International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2398936.2398969.

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Karami, Ebrahim, and Markku Juntti. "Joint ML Channel Tracking and Decoding for MIMO Channels." In 2007 41st Annual Conference on Information Sciences and Systems. IEEE, 2007. http://dx.doi.org/10.1109/ciss.2007.4298359.

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Kazemi, Parham, Hanan Al-Tous, Christoph Studer, and Olav Tirkkonen. "Channel Charting Assisted Beam Tracking." In 2022 IEEE 95th Vehicular Technology Conference (VTC2022-Spring). IEEE, 2022. http://dx.doi.org/10.1109/vtc2022-spring54318.2022.9860709.

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Abuturab, Muhammad Rafiq, and Ayman Alfalou. "Coherent superposition based single-channel color image encryption using gamma distribution and biometric phase keys." In Pattern Recognition and Tracking XXXII, edited by Mohammad S. Alam. SPIE, 2021. http://dx.doi.org/10.1117/12.2586814.

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Lee, Dajung, Janarbek Matai, Brad Weals, and Ryan Kastner. "High throughput channel tracking for JTRS wireless channel emulation." In 2014 24th International Conference on Field Programmable Logic and Applications (FPL). IEEE, 2014. http://dx.doi.org/10.1109/fpl.2014.6927410.

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Bourdoux, A., H. Cappelle, and A. Dejonghe. "Channel Tracking for Fast Time-Varying Channels in IEEE802.11p Systems." In 2011 IEEE Global Communications Conference (GLOBECOM 2011). IEEE, 2011. http://dx.doi.org/10.1109/glocom.2011.6134024.

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Wang, Xiaoyuan, Wei Li, Yanping liu, and Yunzhe chen. "Training-based Adaptive Channel Tracking for Correlated Underwater Acoustic Channels." In WUWNET'19: International Conference on Underwater Networks & Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3366486.3366512.

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Angelosante, Daniele, Ezio Biglieri, and Marco Lops. "Multipath Channel Tracking in OFDM Systems." In 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2007. http://dx.doi.org/10.1109/pimrc.2007.4394478.

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Yan, Zhen-ya, Bao-yu Zheng, and Jing-wu Cui. "Blind channel tracking in cooperative MIMO." In 2007 International Symposium on Intelligent Signal Processing and Communication Systems. IEEE, 2007. http://dx.doi.org/10.1109/ispacs.2007.4445948.

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Reports on the topic "Channel tracking"

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Murphy, D. P., R. E. Pechacek, D. P. Taggart, and R. A. Meger. Density Channel Tracking Studies on Pulserad. Fort Belvoir, VA: Defense Technical Information Center, March 1991. http://dx.doi.org/10.21236/ada232649.

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Zissman, M. A., IV Seward, and D. C. Two-Talker Pitch Tracking for Co-Channel Talker Interference Suppression. Fort Belvoir, VA: Defense Technical Information Center, April 1992. http://dx.doi.org/10.21236/ada253418.

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Zhou, Q., and Y. Morton. Precise GPS Signal Tracking in Interference and Multipath Environment Using a Multi-Channel Software Receiver. Fort Belvoir, VA: Defense Technical Information Center, November 2010. http://dx.doi.org/10.21236/ada559186.

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Tryggvason, Gretar, Igor Bolotnov, Jun Fang, and Jiacai Lu. Verification of bubble tracking method and DNS examinations of single- and two-phase turbulent channel flows. Office of Scientific and Technical Information (OSTI), March 2017. http://dx.doi.org/10.2172/1409272.

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Research Institute (IFPRI), International Food Policy. Food policy indicators: Tracking change. Washington, DC: International Food Policy Research Institute, 2018. http://dx.doi.org/10.2499/9780896292987_annex.

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Research Institute (IFPRI), International Food Policy. Food policy indicators: Tracking change. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/9780896293670_08.

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Araujo, E. G., D. R. Karuppiah, Y. Yang, R. A. Grupen, P. A. Deegan, B. S. Lerner, E. M. Riseman, and Z. Zhu. Software Mode Changes for Continuous Motion Tracking. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada438801.

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Research Institute (IFPRI), International Food Policy. Food policy indicators: Tracking change: Global Hunger Index (GHI). Washington, DC: International Food Policy Research Institute, 2018. http://dx.doi.org/10.2499/1024320720.

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Research Institute (IFPRI), International Food Policy. Food policy indicators: Tracking change: Agricultural Total Factor Productivity TFP. Washington, DC: International Food Policy Research Institute, 2018. http://dx.doi.org/10.2499/1024320073.

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Research Institute (IFPRI), International Food Policy. Food policy indicators: Tracking change: Food Policy Research Capacity Indicators FPRCI. Washington, DC: International Food Policy Research Institute, 2018. http://dx.doi.org/10.2499/1024320472.

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