Academic literature on the topic 'Sensor networks. Antenna arrays'

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Journal articles on the topic "Sensor networks. Antenna arrays"

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Januszkiewicz, Łukasz, Paolo Di Barba, and Sławomir Hausman. "Optimal Design of Switchable Wearable Antenna Array for Wireless Sensor Networks." Sensors 20, no. 10 (2020): 2795. http://dx.doi.org/10.3390/s20102795.

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In the paper, we present a novel approach to the optimum design of wearable antenna arrays intended for off-body links of wireless body area networks. Specifically, we investigate a four-element array that has a switchable radiation pattern able to direct its higher gain towards a signal source and a lower gain towards an interference. The aim is to increase the signal to interference ratio. We apply a genetic algorithm to optimize both the spatial placement and the feed phasing of the elementary on-body antennas. We propose a simplified, computationally efficient model for the simulation of the array radiation pattern. The model is based on full-wave simulations obtained with a simplified cylindrical model of the human body. We also propose, implement, and evaluate four objective functions based on signal to interference ratio, i.e., min-max, nadir point distance maximization, utopia point distance minimization, and full Pareto-like. Our optimized design obtained with this approach exhibits a significant performance improvement in comparison to the initial heuristic design.
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Le, Anh Tuyen, Le Chung Tran, Xiaojing Huang, et al. "Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks." Sensors 20, no. 14 (2020): 3838. http://dx.doi.org/10.3390/s20143838.

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Source positioning using hybrid angle-of-arrival (AOA) estimation and received signal strength indicator (RSSI) is attractive because no synchronization is required among unknown nodes and anchors. Conventionally, hybrid AOA/RSSI localization combines the same number of these measurements to estimate the agents’ locations. However, since AOA estimation requires anchors to be equipped with large antenna arrays and complicated signal processing, this conventional combination makes the wireless sensor network (WSN) complicated. This paper proposes an unbalanced integration of the two measurements, called 1AOA/nRSSI, to simplify the WSN. Instead of using many anchors with large antenna arrays, the proposed method only requires one master anchor to provide one AOA estimation, while other anchors are simple single-antenna transceivers. By simply transforming the 1AOA/1RSSI information into two corresponding virtual anchors, the problem of integrating one AOA and N RSSI measurements is solved using the least square and subspace methods. The solutions are then evaluated to characterize the impact of angular and distance measurement errors. Simulation results show that the proposed network achieves the same level of precision as in a fully hybrid nAOA/nRSSI network with a slightly higher number of simple anchors.
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Nabeel, Muhammad, and Falko Dressler. "Turning Sensor Networks into Distributed Antenna Arrays for Improved Communication Performance." IEEE Communications Magazine 57, no. 9 (2019): 100–105. http://dx.doi.org/10.1109/mcom.001.1800742.

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Hasan, Mohammed Zaki, and Hussain Al-Rizzo. "Beamforming Optimization in Internet of Things Applications Using Robust Swarm Algorithm in Conjunction with Connectable and Collaborative Sensors." Sensors 20, no. 7 (2020): 2048. http://dx.doi.org/10.3390/s20072048.

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The integration of the Internet of Things (IoT) with Wireless Sensor Networks (WSNs) typically involves multihop relaying combined with sophisticated signal processing to serve as an information provider for several applications such as smart grids, industrial, and search-and-rescue operations. These applications entail deploying many sensors in environments that are often random which motivated the study of beamforming using random geometric topologies. This paper introduces a new algorithm for the synthesis of several geometries of Collaborative Beamforming (CB) of virtual sensor antenna arrays with maximum mainlobe and minimum sidelobe levels (SLL) as well as null control using Canonical Swarm Optimization (CPSO) algorithm. The optimal beampattern is achieved by optimizing the current excitation weights for uniform and non-uniform interelement spacings based on the network connectivity of the virtual antenna arrays using a node selection scheme. As compared to conventional beamforming, convex optimization, Genetic Algorithm (GA), and Particle Swarm Optimization (PSO), the proposed CPSO achieves significant reduction in SLL, control of nulls, and increased gain in mainlobe directed towards the desired base station when the node selection technique is implemented with CB.
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Kakoyiannis, Constantine G., and Philip Constantinou. "Compact Printed Arrays with Embedded Coupling Mitigation for Energy-Efficient Wireless Sensor Networking." International Journal of Antennas and Propagation 2010 (2010): 1–18. http://dx.doi.org/10.1155/2010/596291.

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Wireless sensors emerged as narrowband, resource-constrained devices to provide monitoring services over a wide life span. Future applications of sensor networks are multimedia-driven and include sensor mobility. Thus, sensors must combine small size, large bandwidth, and diversity capabilities. Compact arrays, offering transmit/receive diversity, suffer from strong mutual coupling (MC), which causes lower antenna efficiency, loss of bandwidth, and signal correlation. An efficient technique to reduce coupling in compact arrays is described herein: a defect was inserted in the ground plane (GNDP) area between each pair of elements. The defect disturbed the GNDP currents and offered multidecibel coupling suppression, bandwidth recovery, and reduction of in-band correlation. Minimal pattern distortion was estimated. Computational results were supported by measurements. The bandwidth of unloaded arrays degraded gracefully from 38% to 28% with decreasing interelement distance (0.25 to 0.10). Defect-loaded arrays exhibited active impedance bandwidths 37–45%, respectively. Measured coupling was reduced by 15–20 dB.
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Panduro, Marco A., Alberto Reyna, and David H. Covarrubias. "Non-Uniform Concentric Rings Design for Ultra-Wideband Arrays." Sensors 19, no. 10 (2019): 2262. http://dx.doi.org/10.3390/s19102262.

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This paper presents the design of aperiodic concentric ring arrays for ultra-wide bandwidths (UW-ACRA). This design of ultra-wideband arrays considers the synthesis of concentric rings in two cases: 1) non-uniform spacing between rings with non-uniform spacing between antenna elements of the same ring (UW-ACRAelements); and 2) non-uniform spacing between rings assuming that spacing between antenna elements of the same ring to be equal (UW-ACRArings). This is in order to eliminate the occurrence of grating lobes and generating array structures with useful ultra-wideband properties. The synthesis process is carried out by the well-known method of differential evolution (DE). Wireless sensor networks can take advantage of these properties to achieve less data traffic, efficient delivery of information and better energy efficiency.
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Albagory, Yasser, and Omar Said. "Optimizing Concentric Circular Antenna Arrays for High-Altitude Platforms Wireless Sensor Networks." International Journal of Computer Network and Information Security 6, no. 5 (2014): 1–8. http://dx.doi.org/10.5815/ijcnis.2014.05.01.

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Sharma, Sanjeev, Vimal Bhatia, and Anubha Gupta. "Noncoherent IR-UWB Receiver Using Massive Antenna Arrays for Wireless Sensor Networks." IEEE Sensors Letters 2, no. 1 (2018): 1–4. http://dx.doi.org/10.1109/lsens.2017.2778430.

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Kułakowski, Paweł, Javier Vales-Alonso, Esteban Egea-López, Wiesław Ludwin, and Joan García-Haro. "Angle-of-arrival localization based on antenna arrays for wireless sensor networks." Computers & Electrical Engineering 36, no. 6 (2010): 1181–86. http://dx.doi.org/10.1016/j.compeleceng.2010.03.007.

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Milijić, Marija, and Branka Jokanović. "Advanced high-gain slot antenna arrays for 5G and radar applications." Telfor Journal 13, no. 1 (2021): 29–34. http://dx.doi.org/10.5937/telfor2101029m.

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This paper presents an advanced design of high-gain slot antenna array at K-band using slots as radiating elements serially fed by coplanar waveguide (CPW). The arrays consist of identical slots of rectangular shape positioned symmetrically relative to the CPW feeding line. Firstly, the linear arrays of 14 slots are examined considering mainly their bandwidth and radiation characteristics. In addition, two identical linear sub - arrays of 14 slots are investigated when they have separate feeding in the form of two generators for each sub - array. Last, a CPW T-junction is employed to feed the antenna consisting of 2 x 14 slots which resulted in a wide operating bandwidth and maximum gain of 21.0 dBi which proved to be 2.25 dB less gain than with independent feeding. In order to enhance the antenna gain, both arrays are terminated with open-circuited stubs, so that the energy remaining after the last array element is reflected from the stub and re-radiated through the slot arrays. The length of the stubs is optimized to provide that the reflected wave is in phase with the forward-traveling waves at all the slot locations. In that way, very little energy is wasted and consequently the antenna gain is increased. The feed simplicity and uniplanar configuration of the slot arrays, designed for the frequency range 24.25-27.5 GHz, makes them attractive for radar sensors and high capacity 5G technology applications.
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Dissertations / Theses on the topic "Sensor networks. Antenna arrays"

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Chan, Chee Wai. "Distributed beamforming in wireless sensor networks." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Dec%5FChan.pdf.

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Thesis (M.S. in Engineering Science (Electrical Engineering))--Naval Postgraduate School, Dec. 2004.<br>Thesis Advisor(s): Murali Tummala, Roberto Cristi. Includes bibliographical references (p. 79-81). Also available online.
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Wu, Terence. "Antenna integration for wireless and sensing applications." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41098.

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As integrated circuits become smaller in size, antenna design has become the size limiting factor for RF front ends. The size reduction of an antenna is limited due to tradeoffs between its size and its performance. Thus, combining antenna designs with other system components can reutilize parts of the system and significantly reduce its overall size. The biggest challenge is in minimizing the interference between the antenna and other components so that the radiation performance is not compromised. This is especially true for antenna arrays where the radiation pattern is important. Antenna size reduction is also desired for wireless sensors where the devices need to be unnoticeable to the subjects being monitored. In addition to reducing the interference between components, the environmental effect on the antenna needs to be considered based on sensors' deployment. This dissertation focuses on solving the two challenges: 1) designing compact multi-frequency arrays that maintain directive radiation across their operating bands and 2) developing integrated antennas for sensors that are protected against hazardous environmental conditions. The first part of the dissertation addresses various multi-frequency directive antennas arrays that can be used for base stations, aerospace/satellite applications. A cognitive radio base station antenna that maintains a consistent radiation pattern across the operating frequencies is introduced. This is followed by multi-frequency phased array designs that emphasize light-weight and compactness for aerospace applications. The size and weight of the antenna element is reduced by using paper-based electronics and internal cavity structures. The second part of the dissertation addresses antenna designs for sensor systems such as wireless sensor networks and RFID-based sensors. Solar cell integrated antennas for wireless sensor nodes are introduced to overcome the mechanical weakness posed by conventional monopole designs. This can significantly improve the sturdiness of the sensor from environmental hazards. The dissertation also introduces RFID-based strain sensors as a low-cost solution to massive sensor deployments. With an antenna acting as both the sensing device as well as the communication medium, the cost of an RFID sensor is dramatically reduced. Sensors' strain sensitivities are measured and theoretically derived. Their environmental sensitivities are also investigated to calibrate them for real world applications.
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Zhu, Danny. "Source localization within a uniform circular sensor array /." Online version of thesis, 2007. http://hdl.handle.net/1850/4628.

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Zhang, Boyang. "Real-time software-defined-radio implementation of time-slotted carrier synchronization for distributed beamforming." Worcester, Mass. : Worcester Polytechnic Institute, 2009. http://www.wpi.edu/Pubs/ETD/Available/etd-050509-200154/.

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Thesis (M.S.)--Worcester Polytechnic Institute.<br>Keywords: distributed beamforming; carrier synchronization; software-defined-radio; sensor networks; wireless networks; cooperative transmission; virtual antenna arrays. Includes bibliographical references (leaves 168-169).
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Cheng, Shi. "Integrated Antenna Solutions for Wireless Sensor and Millimeter-Wave Systems." Doctoral thesis, Uppsala universitet, Mikrovågs- och terahertzteknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-111197.

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This thesis presents various integrated antenna solutions for different types of systems and applications, e.g. wireless sensors, broadband handsets, advanced base stations, MEMS-based reconfigurable front-ends, automotive anti-collision radars, and large area electronics. For wireless sensor applications, a T-matched dipole is proposed and integrated in an electrically small body-worn sensor node. Measurement techniques are developed to characterize the port impedance and radiation properties. Possibilities and limitations of the planar inverted cone antenna (PICA) for small handsets are studied experimentally. Printed slot-type and folded PICAs are demonstrated for UWB handheld terminals. Both monolithic and hybrid integration are applied for electrically steerable array antennas. Compact phase shifters within a traveling wave array antenna architecture, on single layer substrate, is investigated for the first time. Radio frequency MEMS switches are utilized to improve the performance of reconfigurable antennas at higher frequencies. Using monolithic integration, a 20 GHz switched beam antenna based on MEMS switches is implemented and evaluated. Compared to similar work published previously, complete experimental results are here for the first time reported. Moreover, a hybrid approach is used for a 24 GHz switched beam traveling wave array antenna. A MEMS router is fabricated on silicon substrate for switching two array antennas on a LTCC chip. A concept of nano-wire based substrate integrated waveguides (SIW) is proposed for millimeter-wave applications. Antenna prototypes based on this concept are successfully demonstrated for automotive radar applications. W-band body-worn nonlinear harmonic radar reflectors are proposed as a means to improve automotive radar functionality. Passive, semi-passive and active nonlinear reflectors consisting of array antennas and nonlinear circuitry on flex foils are investigated. A new stretchable RF electronics concept for large area electronics is demonstrated. It incorporates liquid metal into microstructured elastic channels. The prototypes exhibit high stretchability, foldability, and twistability, with maintained electrical properties.<br>wisenet
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Lee, Eugene Y. "Electromagnetically Transparent Feed Networks for Antenna Arrays." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1218569942.

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Laue, Heinrich Edgar Arnold. "Design of compressive antenna arrays." Thesis, University of Pretoria, 2020. http://hdl.handle.net/2263/73316.

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Reduced-control antenna arrays reduce the number of controls required for beamforming while maintaining a given array aperture. A reduced-control array for direction finding (DF), inspired by the concept of compressive sensing (CS), was recently proposed which uses random compression weights for combining antenna-element signals into fewer measurements. However, this compressive array had not been studied in terms of traditional characteristics such as directivity, sidelobe level (SLL) or beamwidth. In this work, random compression weights are shown to be suboptimal and a need for the optimisation of compressive arrays is expressed. Existing codebook optimisation algorithms prove to be the best starting point for the optimisation of compressive arrays, but are computationally complex. A computationally efficient codebook optimisation algorithm is proposed to address this problem, which inspires the compressive-array optimisation algorithm to follow. Compressive antenna arrays are formulated as a generalisation of reduced-control arrays and a framework is presented for their optimisation in terms of SLL. By allowing arbitrary compression weights, compressive arrays are shown to improve on existing reduced-control techniques. A feed network consisting of interconnected couplers and fixed phase shifters is proposed, enabling the implementation of compressive arrays in microwave hardware. The practical feasibility of compressive arrays is illustrated by successfully manufacturing a 3-GHz prototype compressive array with integrated antenna elements.<br>Thesis (PhD)--University of Pretoria, 2020.<br>Electrical, Electronic and Computer Engineering<br>PhD<br>Unrestricted
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Manninen, O. (Olli). "Modelling the antenna arrays using MATLAB-application Sensor Array Analyzer." Bachelor's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201705302196.

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In this thesis, the antenna arrays researched and modelled using Sensor Array Analyzer- application (SAA) from MATLAB. The objective is to explore the array modelling capabilities of the SAA application. This thesis shows that SAA is versatile software for modelling the radiation patterns using 2D or 3D plots, but there are couple of missing features. SAA allows user to import the used code to MATLAB for code modification. Data imported from MATLAB to SAA using variables, for example importing dipole, antenna locations for conformal array and complex coefficients for beamforming. Antenna array wideband usage at SAA discussed and example shown. At SAA, grating lobes seen at 2D and 3D plots and grating lobe- diagram is also used and explained. SAA has no built-in option for mutual coupling compensation. Other practical method for modelling and compensation of mutual coupling are discussed<br>Tässä kandidaatintyössä tutkittiin eri geometrian omaavia antenniryhmiä ja niiden mallinnusta MATLAB-ohjelmiston lisäosan SAA:n (Sensor Array Analyzer) avulla. Tehtävänä oli tutkia antenniryhmän eri osa-alueiden mallinnuksen mahdollisuuksia ja rajoituksia kyseisellä ohjelmistolla. Tutkimuksen tuloksena todetaan, että SAA on monipuolinen ohjelmisto antenniryhmien säteilykuvioiden graafiseen havainnollistamiseen 2D- tai 3D-muodossa, vaikkakin muutama perusominaisuus puuttui. Työssä tutkittiin, miten SAA-ohjelmistosta voidaan siirtää käytetty koodi MATLAB-ohjelmistoon sen mahdollista lisämuokkausta varten ja kuinka MATLAB-ohjelmistosta tuodaan tietoa SAA-ohjelmistoon erilaisina muuttujina. Muuttujia tarvitaan esimerkiksi, kun ohjelmistoon tuodaan antennin säteilykuvio, tai sovellettu antenniryhmä sekä niiden kompleksiset kertoimet keilanmuodostusta varten. Laajakaistaisten antenniryhmien säteilykuvion mallinnusta testattiin ja havainnollistettiin. Sivukeiloja, joilla on sama teho pääkeilan kanssa, tarkasteltiin ja niiden havainnollistamiseen luotua diagrammia testattiin. Antennien välisen keskinäiskytkennän mallintamisen mahdollisuuksia tarkasteltiin ja sen vaikutusta säteilykuvioon pohdittiin. Tämän työn tarkoituksena oli selvittää SAA-ohjelmiston pääpiirteiset ominaisuudet ja heikkoudet. Kyseistä tietoa käytetään antenniryhmien keilasynteesiä tutkiessa. Antenniryhmiä voi mallintaa huomattavasti nopeammin ja helpommin käyttämällä SAA-ohjelmistoa, kuin kirjoittamalla itse MATLAB-koodi tai simuloimalla antenniryhmän sähkömagneettinen 3D-malli. Ohjelmiston heikkoudetkin voidaan välttää muokkaamalla koodia haluamalla tavalla. Antenniryhmiä tullaan tulevaisuudessa hyödyntämään IoT-laitteissa ja langattomassa 5G teknologiassa
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Dyberg, Karin, and Linda Farman. "Spatial TDMA in Ad Hoc Networks with Antenna Arrays." Thesis, Linköping University, Department of Science and Technology, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1104.

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<p>In modern military operations the requirements of transmitting large amounts of information have increased substantially during the last decade. This increases the demand for high-capacity radio networks. It is also very important that military decisions are made on recent and correct information and this implies that low and known delays are required. The existing military radio ommunications, within the Swedish army, do not meet the requirements for capacity and delay. </p><p>We have investigated how the capacity and average delay can be improved in an Ad Hoc network with STDMA by using antenna arrays. The study is based on different antenna combinations consistingof single isotropic antenna element, beam steering and adaptive beamforming. We have also studied how the number of antenna elements, the terrain, and an increased connectivity due to the antenna arrays_affects the performance measurements. </p><p>The study shows that the capacity is improved with up to 1200%, and the average delays are decreased when using antenna arrays instead of single isotropic antenna elements. Depending on the beamforming combination used the capacity gain and average delay reduction will differ. The way of using the antenna array also affects the capacity gain and average delay. The capacity gain is higher when the antenna array is used not only to suppress and decrease interferences, but also to increase the connectivity. </p><p>The study also shows that the capacity gain is higher when using more antenna elements for a network with a high number of links, than with fewer. The benefit from antenna arrays is higher in a flat terrain than in a rough.</p>
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Gelal, Ece. "Cross-layer design for wireless networks using antenna arrays." Diss., [Riverside, Calif.] : University of California, Riverside, 2009. http://proquest.umi.com/pqdweb?index=0&did=1899476681&SrchMode=2&sid=1&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1268335334&clientId=48051.

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Thesis (Ph. D.)--University of California, Riverside, 2009.<br>Includes abstract. Title from first page of PDF file (viewed March 11, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 149-156). Also issued in print.
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Books on the topic "Sensor networks. Antenna arrays"

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Liu, K. J. Ray, 1961-, ed. Handbook on array processing and sensor networks. Wiley, 2009.

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Titarenko, Larysa. Methods of Signal Processing for Adaptive Antenna Arrays. Springer Berlin Heidelberg, 2013.

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Pogorzelski, Ronald J. Coupled-oscillator based active-array antennas. John Wiley & Sons Inc., 2012.

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Distributed Antenna Systems: Open Architecture for Future Wireless Communications (Wireless Networks and Mobile Communications). AUERBACH, 2007.

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TDRS MA phased-array antenna simulations. Center for Space Telemetering and Telecommunications Systems, Klipsch Dept. of Electrical Engineering, New Mexico State University, 1995.

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1954-, Horan Stephen John, and United States. National Aeronautics and Space Administration., eds. TDRS MA phased-array antenna simulations. Center for Space Telemetering and Telecommunications Systems, Klipsch Dept. of Electrical Engineering, New Mexico State University, 1995.

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1954-, Horan Stephen John, and United States. National Aeronautics and Space Administration., eds. TDRS MA phased-array antenna simulations. Center for Space Telemetering and Telecommunications Systems, Klipsch Dept. of Electrical Engineering, New Mexico State University, 1995.

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Pogorzelski, Ronald J., and Apostolos Georgiadis. Coupled-Oscillator Based Active-Array Antennas. Wiley & Sons, Incorporated, John, 2012.

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Book chapters on the topic "Sensor networks. Antenna arrays"

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Guo, Ning, Xinliang Liu, and Nana Bu. "Low-Coupling 2 ∗ 1 Micro-strip Antenna Array Based on Defect Structure." In Sensor Networks and Signal Processing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4917-5_5.

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Shekhar, Chandra. "An Optimized High Gain Microstrip Patch Array Antenna for Sensor Networks." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2372-0_16.

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de Freitas, Edison Pignaton, Ricardo Kehrle Miranda, Marco Marinho, João Paulo Carvalho Lustosa da Costa, and Carlos Eduardo Pereira. "A Practical Implementation of a Cooperative Antenna Array for Wireless Sensor Networks." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23126-6_28.

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Maalouf, Khalil J., and Marwan A. Simaan. "Wideband Interference Attenuation in Sensor Arrays." In Adaptive Antenna Arrays. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05592-2_4.

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Fahmy, Nader S., and Terence D. Todd. "Media Access Control for Ad Hoc Networks with Adaptive Antenna Arrays." In Adaptive Antenna Arrays. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05592-2_30.

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Qian, Gongbin, Ce Zhang, Chunlong He, Xingquan Li, and Chu Tian. "Power Control in D2D Underlay Distributed Antenna Systems." In Sensor Networks and Signal Processing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4917-5_6.

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Nilsson, Martin. "SPIDA: A Direction-Finding Antenna for Wireless Sensor Networks." In Real-World Wireless Sensor Networks. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17520-6_13.

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Makino, Shoji, Shoko Araki, Stefan Winter, and Hiroshi Sawada. "Underdetermined Blind Source Separation Using Acoustic Arrays." In Handbook on Array Processing and Sensor Networks. John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470487068.ch10.

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Evangeline, L. Diana, G. Shine Let, and C. Benin Pratap. "An Ultra-Wide Band Patch Antenna for Commercial Communication Applications." In IoT and Analytics for Sensor Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2919-8_21.

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Öström, Erik, Luca Mottola, and Thiemo Voigt. "Evaluation of an Electronically Switched Directional Antenna for Real-World Low-Power Wireless Networks." In Real-World Wireless Sensor Networks. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17520-6_11.

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Conference papers on the topic "Sensor networks. Antenna arrays"

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Kucuk, Kerem, Adnan Kavak, Halil Yigit, and Caner Ozdemir. "A new wireless sensor networks localization scheme with antenna arrays." In 2008 European Wireless Conference (EW). IEEE, 2008. http://dx.doi.org/10.1109/ew.2008.4623908.

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Kucuk, Kerem, Adnan Kavak, Halil Yigit, and Caner Ozdemir. "A novel localization technique for wireless sensor networks using adaptive antenna arrays." In 2008 IEEE Radio and Wireless Symposium. IEEE, 2008. http://dx.doi.org/10.1109/rws.2008.4463534.

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Abramovich, Yuri I., and Geoffrey San Antonio. "Network theory-based generic model for oversampled receive antenna arrays." In 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2012. http://dx.doi.org/10.1109/sam.2012.6250570.

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Li, Minghui, and Yilong Lu. "Optimal Direction Finding in Unknown Noise Environments Using Antenna Arrays in Wireless Sensor Networks." In 2007 7th International Conference on ITS Telecommunications. IEEE, 2007. http://dx.doi.org/10.1109/itst.2007.4295888.

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Say, Sotheara, Naoto Aomi, Taisuke Ando, and Shigeru Shimamoto. "Circularly multi-directional antenna arrays with spatial reuse based MAC for aerial sensor networks." In 2015 ICC - 2015 IEEE International Conference on Communications Workshops (ICC). IEEE, 2015. http://dx.doi.org/10.1109/iccw.2015.7247512.

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Liang, Quanquan, Dongfeng Yuan, Yong Wang, and Ruihua Zhang. "A New Sensor Antenna-array Selecting Method in Wireless Sensor Networks." In 2006 International Conference on Communications, Circuits and Systems. IEEE, 2006. http://dx.doi.org/10.1109/icccas.2006.284961.

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Modiri, Arezoo, Kamran Kiasaleh, and Sheila Chandrahas. "Characterizing a proposed sixteen-element array antenna designed for microwave imaging of breast cancer." In 2013 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). IEEE, 2013. http://dx.doi.org/10.1109/wisnet.2013.6488634.

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Li, Huidong, Xiaoyu Du, and Yingzeng Yin. "High Gain Omnidirectional Dipole Array Antenna with Slot Coupler." In 2018 International Conference on Sensor Networks and Signal Processing (SNSP). IEEE, 2018. http://dx.doi.org/10.1109/snsp.2018.00071.

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Nagaraju, Shamanth, Lucy Gudino, Bhushan Kadam, Vikas V. Khairnar, Joseph Xavier Rodrigues, and Ramesha C. K. "Rectangular Microstrip Patch Antenna Array Based Sectored Antenna for Directional Wireless Sensor Networks." In 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). IEEE, 2020. http://dx.doi.org/10.1109/csndsp49049.2020.9249489.

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Han, Zhu, and K. J. Ray Liu. "Joint adaptive power and modulation management in wireless networks with antenna diversity." In 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings. IEEE, 2002. http://dx.doi.org/10.1109/sam.2002.1191044.

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Reports on the topic "Sensor networks. Antenna arrays"

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Ren, Tianmin, and Richard J. La. Opportunistic Packet Scheduling in Cellular Networks with Base Station Antenna Arrays. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada637216.

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