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Dissertations / Theses on the topic 'Space-time adaptive processing (STAP)'

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1

Burwell, Alex. "An Expert System Approach to Bistatic Space-Time Adaptive Processing." University of Dayton / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1618405886692882.

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2

Wortham, Cody. "Space-Time Processing for Ground Surveillance Radar." Thesis, Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14468.

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As the size of an adaptive antenna array grows, the system is able to resist interference signals of increasing bandwidth. This is a result of the transmit pattern gain increasing, which raises the target's return power, and a greater number of degrees of freedom. However, once the interference signal decorrelates completely from one channel to the next, increasing array size will cease to improve detection capability. The use of tapped delay-line processing to improve correlation between channels has been studied for smaller arrays with single element antennas, but previous analyses have not
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3

Moore, Thomas Dean. "Analytic Study of Space-Time and Space-Frequency Adaptive Processing for Radio Frequency Interference Suppression." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1037380239.

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4

Bryant, Christine Ann. "Multiple-Input Single-Output Synthetic Aperture Radar and Space-Time Adaptive Processing." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1276875612.

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5

Zhou, Zheng N. "Space-time adaptive processing with multi-staged Wiener filter and principal component signal dependent algorithms." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/276.

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Space-time Adaptive Processing (STAP) is a two-dimensional filtering technique for antenna array with multiple spatial channels. The name "space-time" describes the coupling of these spatial channels with pulse-Doppler waveforms. Applications for STAP includes ground moving target indicator (GMTI) for airborne radar systems. Today, there are strong interests to develop STAP algorithms for operations in “sample starved” environments, where intense environmental interference can reduce STAP capacity to detect and track ground targets. Careful applications of STAP can effectively overcome thes
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6

Anadol, Erman. "A Knowledge Based Approach In Gmti For The Estimation Of The Clutter Covariance Matrix In Space Time Adaptive Processing." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12615014/index.pdf.

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Ground Moving Target Indication (GMTI) operation relies on clutter suppression techniques for the detection of slow moving ground targets in the presence of strong radar returns from the ground. Space Time Adaptive Processing (STAP) techniques provide a means to achieve this goal by adaptively forming the clutter suppression filter, whose parameters are obtained using an estimated covariance matrix of the clutter data. Therefore, the performance of the GMTI operation is directly aected by the performance of the estimation process mentioned above. Knowledge based techniques are applicable in ap
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7

Breloy, Arnaud. "Algorithmes d’estimation et de détection en contexte hétérogène rang faible." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLN021/document.

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Une des finalités du traitement d’antenne est la détection et la localisation de cibles en milieu bruité. Dans la plupart des cas pratiques, comme par exemple le RADAR ou le SONAR actif, il faut estimer dans un premier temps les propriétés statistiques du bruit, et plus précisément sa matrice de covariance ; on dispose à cette fin de données secondaires supposées identiquement distribuées. Dans ce contexte, les hypothèses suivantes sont généralement formulées : bruit gaussien, données secondaires ne contenant que du bruit, et bien sûr matériels fonctionnant parfaitement. Il est toutefois connu
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8

Oudin, Marc. "Etude d'algorithmes de traitement d'antenne sur signaux large bande et signaux radar bande étroite à antenne tournante." Paris 6, 2008. http://www.theses.fr/2008PA066209.

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Cette thèse est consacrée à l'étude d'algorithmes de filtrage spatial ou spatio-temporel dans deux contextes d'application différents. Dans une première partie de la thèse, nous nous intéressons à des algorithmes de traitement d'antenne sur signaux large bande. Puis, dans une seconde partie, nous considérons le problème du filtrage de signaux radar bande étroite en configuration radar terrestre à antenne tournante. Dans la première partie de ce document, notre contribution a porté principalement sur les points suivants : dans le cadre de l'étude de robustesse de la formation de faisceaux bande
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9

Yang, Ho. "Partially adaptive space-time processing." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/13028.

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10

Seliktar, Yaron. "Space-time adaptive monopulse processing." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/13075.

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11

Uysal, Halil. "Jammer Cancelation By Using Space-time Adaptive Processing." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613800/index.pdf.

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Space-Time Adaptive Processing (STAP) has been widely used in spaceborne and airborne radar platforms in order to track ground moving targets. Jammer is an hostile electronic countermeasure that is being used to degrade radar detection and tracking performance. STAP adapts radar&rsquo<br>s antenna radiating pattern in order to reduce jamming effectiveness. Jamming power that enters the system is decreased with respect to the adapted radiation pattern. In this thesis, a generic STAP radar model is developed and implemented in simulation environment. The implemented radar model demonstrates that
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12

Li, Yi-Hsien. "Real-Time Space-Time Adaptive Processing on the STI CELL Multiprocessor." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8933.

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<p>Space-Time Adaptive Processing (STAP) has been widely used in modern radar systems such as Ground Moving Target Indication (GMTI) systems in order to suppress jamming and interference. However, the high performance comes at a price of higher computational complexity, which requires extensive powerful hardware.</p><p>The new STI Cell Broadband Engine (CBE) processor combines PowerPC core augmented with eight streamlined high-performance SIMD processing engine offers an opportunity to implement the STAP baseband signal processing without any full custom hardware. This paper presents the imple
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13

Binonwangan, Martian. "Space-time adaptive processing for airborne surveillance radar systems." Thesis, University of Hawaii at Manoa, 2003. http://hdl.handle.net/10125/7019.

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In this thesis, we investigate the computational complexity, realization requirements and detection performance of Space-Time Adaptive Processing (STAP) for radar surveillance radar system. We identify the signal components comprising the transmitted and received waveforms and organize it in a space-time data vector. SMI, RLS, EVD and QRD are presented as different implementation of the optimum, in the SINR sense, STAP. QRD avoids the computationally intensive inversion of covariance matrix performed by SMI, RLS and EVD while offering numerical stability to the calculation. Computationally red
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14

Fabrizio, Giuseppe Aureliano. "Space-time characterisation and adaptive processing of ionospherically-propagated HF signals /." Title page, table of contents and abstract only, 2000. http://web4.library.adelaide.edu.au/theses/09PH/09phf129.pdf.

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15

Lim, Chin-Heng. "Bistatic space-time adaptive processing for ground moving target indication." Thesis, University of Edinburgh, 2006. http://hdl.handle.net/1842/6373.

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Space-time adaptive processing (STAP) for bistatic airborne radar offers several advantages, such as the higher possibility of detecting stealth targets. However, in a bistatic environment, the usual impediment and possible clutter in-homogeneity is further complicated by the rangedependent nature of the clutter ridge in the angle-Doppler plane induced by the physical geometry of the two aircrafts. This complicates the clutter suppression problem and leads to signi cant degradation in performance. The major objective of this thesis is to develop training methods for bistatic radar operation in
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16

Schoenig, Gregory Neumann. "Contributions to Robust Adaptive Signal Processing with Application to Space-Time Adaptive Radar." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/26972.

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Classical adaptive signal processors typically utilize assumptions in their derivation. The presence of adequate Gaussian and independent and identically distributed (i.i.d.) input data are central among such assumptions. However, classical processors have a tendency to suffer a degradation in performance when assumptions like these are violated. Worse yet, such degradation is not guaranteed to be proportional to the level of deviation from the assumptions. This dissertation proposes new signal processing algorithms based on aspects of modern robustness theory, including methods to enabl
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17

Hammerschmidt, Joachim S. "Adaptive space and space-time signal processing for high-rate mobile data receivers /." Düsseldorf : VDI-Verl, 2001. http://www.gbv.de/dms/bs/toc/329240056.pdf.

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18

Eryigit, Ozgur. "Interference Suppression By Using Space-time Adaptive Processing For Airborne Radar." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609493/index.pdf.

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Space-Time Adaptive Processing (STAP) is an effective method in Ground Moving Target Indicator (GMTI) operation of airborne radars. Clutter suppression is the key to successful MTI operation. Airborne radars are different than the ground based ones in regard to clutter due to the displacement of the platform during operation. When STAP methods are to be investigated, one needs to have accurate signal models while evaluating performance. In this thesis, a comprehensive received signal model is developed first for an airborne antenna array. The impacts of the aircraft motion and irregularities i
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19

Alam, Fakhrul. "Space Time Processing for Third Generation CDMA Systems." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/29669.

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The capacity of a cellular system is limited by two different phenomena, namely multipath fading and multiple access interference (MAI). A Two Dimensional (2-D) receiver combats both of these by processing the signal both in the spatial and temporal domain. An ideal 2-D receiver would perform joint space-time processing, but at the price of high computational complexity. In this dissertation we investigate computationally simpler technique termed as a Beamformer-Rake. In a Beamformer-Rake, the output of a beamformer is fed into a succeeding temporal processor to take advantage of both the beam
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20

Zhou, Chucai Cliff. "Application and extension of space-time adaptive processing to passive FM radar /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/5951.

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21

Górski, Tomasz. "Space-time adaptive signal processing for sea surveillance on-shore stationary radars." Télécom Bretagne, 2008. http://www.theses.fr/2008TELB0075.

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Il existe plusieurs limitations dans les systèmes radar de surveillance maritime. En particulier, un problème important est le fort retour électromagnétique de la surface de mer (notamment pour les mers formées). La définition de nouvelles techniques de traitement de ces données radar est un domaine en pleine expansion. Dans cette thèse, nous proposons l'utilisation de traitement adaptatif dans les domaines temps-fréquence (STAP en anglais) pour la détection d'objets sur la surface de mer. Cependant, cette méthodologie est confrontée à plusieurs difficultés : Non stationnarité (dans le temps e
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22

Phuong, Tri T. (Tri Tu) 1975. "A study of space-time adaptive array processing for cancellation of GPS jamming." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80559.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.<br>Includes bibliographical references (leaf 68).<br>by Tri T. Phuong.<br>S.B.and M.Eng.
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23

Tan, Danny Kai Pin. "Signal Processing for Airborne Passive Radar : Interference Suppression and Space Time Adaptive Processing Techniques for Transmissions of Opportunity." Thesis, Supélec, 2012. http://www.theses.fr/2012SUPL0021/document.

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Le concept de radar passif aéroporté repose sur l’utilisation de plusieurs antennes réseau, disposées sur une plateforme en vue de couvrir un angle solide large de détection, en s’appuyant sur l’utilisation de signaux d’opportunité provenant d’émetteurs au sol. La détection aéroportée à partir de signaux d’opportunité est intéressante, notamment pour assurer l’autoprotection d’un avion ou d’un hélicoptère ; en revanche elle constitue un défi technique notamment en raison du niveau des signaux interférents, en provenance de l’émetteur et des trajets multiples indirects (le fouillis), bien supér
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24

Sjögren, Thomas. "Synthetic Aperture Radar Signal and Image Processing for Moving Target Indication and Side Lobe Suppression." Doctoral thesis, Blekinge Tekniska Högskola, Avdelningen för elektroteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00542.

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The thesis summarizes a selection of my research within Synthetic Aperture Radar (SAR). Mainly the research is aimed at applying and developing signal processing methods to single channel and multi channel SAR for wideband systems. SAR systems can generate images looking very similar to optical pictures, i.e. photos, and sometimes with much finer resolution compared to optical systems orbiting Earth. SAR has also for instance been used to obtain fine resolution images of the moon, Venus and the satellites of Saturn. Other applications for SAR has is to detect changes in ice sheets and deforest
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25

Kim, Ngan Trieu, and Olumide Ajiboye. "PERFORMANCE ANALYSIS OF ADAPTIVE ARRAY SYSTEM AND SPACE-TIME BLOCK CODING IN MOBILE WIMAX (802.16e) SYSTEMS." Thesis, Blekinge Tekniska Högskola, Avdelningen för telekommunikationssystem, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4743.

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We live in an information hungry age, we generate and process information at a rate never before recorded in the history of mankind. Today’s computing platforms are run on Gigahertz multi-core processors churning out Gigabits streams of data that need to be transmitted as quickly as possible. Often times the source and the destination are mobile which means wired connections are not a choice. This has led to an ever increasing need to develop wireless access technologies that support high throughput regardless of the transmission environment. Till date, many proprietary solutions exist that se
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26

Bang, Jeong Hwan. "Adaptive radar detection in the presence of textured and discrete interference." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49109.

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Under a number of practical operating scenarios, traditional moving target indicator (MTI) systems inadequately suppress ground clutter in airborne radar systems. Due to the moving platform, the clutter gains a nonzero relative velocity and spreads the power across Doppler frequencies. This obfuscates slow-moving targets of interest near the "direct current" component of the spectrum. In response, space-time adaptive processing (STAP) techniques have been developed that simultaneously operate in the space and time dimensions for effective clutter cancellation. STAP algorithms commonly operate
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27

Paulus, Audrey S. "Improved target detection through extended-dwell, multichannel radar." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/54279.

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The detection of weak, ground-moving targets can be improved through effective utilization of additional target signal energy collected over an extended dwell time. The signal model used in conventional radar processing limits integration of signal energy over an extended dwell. Two solutions that consider the complexity of the extended-dwell signal model and effectively combine signal energy collected over a long dwell are presented. The first solution is a single-channel algorithm that provides an estimate of the optimal detector to maximize output signal-to-interference-plus-noise ratio for
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28

Taylor, Abigael. "Traitements SAR multivoies pour la détection de cibles mobiles." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLN048/document.

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Le Synthetic Aperture Radar (SAR) aéroporté permet d’obtenir des images hautes résolutions, en compensant un déphasage lié au déplacement de l’avion. Il n’est cependant pas adapté à l’imagerie des cibles mobiles, celles-ci introduisant un déphasage supplémentaire, dépendant de leur vitesse et de leur accélération. En utilisant un système SAR multivoies, il est cependant possible de réaliser des traitements adaptés aux cibles mobiles, dont les principes sont proches du Space-Time Adaptive Processing (STAP). Le Synthetic Aperture Radar (SAR) aéroporté permet d’obtenir des images hautes résolutio
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29

Mavares, Terán Dimas. "Estimación de canal y selección adaptativa de código espacio-tiempo en sistemas de diversidad en transmisión." Doctoral thesis, Universidad de Cantabria, 2006. http://hdl.handle.net/10803/10662.

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Las técnicas de estimación de canal y de adaptación de la transmisión a las condiciones del entorno son temas de interés actual al estudiar la aplicación de técnicas de diversidad en transmisión en la tercera y cuarta generación de sistemas inalámbricos. En esta tesis se realiza un análisis del impacto del error de estimación de canal y la correlación en sistemas OFDM con diversidad en transmisión basados en codificación espacio-tiempo por bloques (STBC), se proponen técnicas de estimación de canal para estos sistemas y se propone una técnica de adaptación de la transmisión mediante la selecci
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30

Barbiero, Franck. "Antibrouillage de récepteur GNSS embarqué sur hélicoptère." Thesis, Toulouse, ISAE, 2014. http://www.theses.fr/2014ESAE0052.

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En environnements hostiles, les signaux GNSS (Global Navigation Satellite System)peuvent être soumis à des risques de brouillages intentionnels. Basées sur un réseau d'antennes adaptatif, les solutions spatio-temporelles (STAP) ont déjà montré de bonnes performances de réjection des interférences. Toutefois, lorsque le module GNSS est placé sous les pales d'un hélicoptère, des effets non-stationnaires, appelés Rotor Blade Modulation (RBM), créés par les multiples réflexions du signal sur les pales du rotor, peuvent dégrader les techniques usuelles d’antibrouillage. Le signal utile GNSS n’est a
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31

BLASONE, GIOVANNI PAOLO. "Space-time adaptive processing techniques for multichannel mobile passive radar." Doctoral thesis, 2021. http://hdl.handle.net/11573/1549412.

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Passive radar technology has reached a level of maturity for stationary sensor operations, widely proving the ability to detect, localize and track targets, by exploiting different kinds of illuminators of opportunity. In recent years, a renewed interest from both the scientific community and the industry has opened new perspectives and research areas. One of the most interesting and challenging ones is the use of passive radar sensors onboard moving platforms. This may offer a number of strategic advantages and extend the functionalities of passive radar to applications like synthetic apertur
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32

Lee, Jason R. "On adaptive MIMO space-time processing /." 2005.

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33

LIN, EN-HAO, and 林恩豪. "Low-Complexity Space-Time-Range Adaptive Processing for Airborne Radar Systems." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/6n3fp3.

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碩士<br>國立中山大學<br>通訊工程研究所<br>107<br>Airborne radar is an early-warning system that can effectively detect any kind of target, including the missile, aircraft, battleships, and any vehicles. However, the system typically encounters clutter reflection and hostile jamming source, contaminating the impulse reflective waveforms. To overcome the situation, the space-time adaptive process (STAP) is proposed to construct two-dimensional (space and time) filter to suppress the clutter and null the jamming, but retains the target signal concurrently. The optimum filter coefficients can be obtained by the
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34

Bacci, Alessio. "Optimal space time adaptive processing for multichannel inverse synthetic aperture radar imaging." Thesis, 2014. http://hdl.handle.net/2440/86480.

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The thesis deals with the application of ISAR processing to obtain high resolution imaging of non-cooperative moving targets within a SAR scene. The research topic is of great interest nowadays. Modern SAR system can provide high resolution radar images of wide areas with reduced revisiting time. These features make them particularly suited for surveillance application. It is obvious that for these kind of applications the capability of imaging non-cooperative moving targets becomes fundamental. Since conventional SAR processing is unable to focus moving targets because of the lack of knowledg
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35

Fabrizio, Giuseppe Aureliano. "Space-time characterisation and adaptive processing of ionospherically-propagated HF signals / Giuseppe Aureliano Fabrizio." Thesis, 2000. http://hdl.handle.net/2440/19705.

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Bibliography: p. 235-243.<br>xxvi, 243 p. : ill. ; 30 cm.<br>Concerned with the mathematical characterisation and adaptive processing of narrowband high frequency signals received by a very wide aperture antenna array after reflection from the ionosphere.<br>Thesis (Ph.D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 2000
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36

Kumar, Sappati Vinodh. "Distributed Robust Estimation of Space-Time Varying Parameter over Distributed Network." Thesis, 2016. http://ethesis.nitrkl.ac.in/9200/1/2016_MT_SVKumar.pdf.

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Distributed wireless sensor networks assess some parameter of interest connected with the earth by preparing the spatial-temporal information. Adaptive algorithms are applied to the distributed networks to endow the network with adaptation capabilities. The distributed network consists of many small sensors deployed randomly in a geographic area, which are adaptive and share their local information. Be that as it may all these disseminated techniques depend on the least mean square cost function which is delicate to the anomalies, for example, motivation clamour and impedance present in the wa
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37

"Performance Enhancement of Space-Time Adaptive Processing for GPS and Microstrip Antenna Design Using Ferrite Rings." Doctoral diss., 2013. http://hdl.handle.net/2286/R.I.20823.

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abstract: Global Positioning System (GPS) is a navigation system widely used in civilian and military application, but its accuracy is highly impacted with consequential fading, and possible loss of communication due to multipath propagation and high power interferences. This dissertation proposes alternatives to improve the performance of the GPS receivers to obtain a system that can be reliable in critical situations. The basic performance of the GPS receiver consists of receiving the signal with an antenna array, delaying the signal at each antenna element, weighting the delayed replicas, a
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38

Linton, Lance. "Iterative and Adaptive Processing for Multiuser Communication Systems." Thesis, 2016. https://vuir.vu.edu.au/31027/.

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The huge demand of wireless communications has driven the requirement for highly-efficient multiple-access communications schemes that can accommodate multiple simultaneous users, yet provide performance similar to single-user systems. Recently, iterative multiuser detection schemes have shown to provide this high level of performance at a manageable level of complexity. This thesis is concerned with iterative detection of two non-orthogonal asynchronous access schemes: codedivision multiple-access (CDMA); and interleave-division multiple-access (IDMA).
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39

Daher, Rani. "Analyzing Spatial Diversity in Distributed Radar Networks." Thesis, 2008. http://hdl.handle.net/1807/17159.

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We introduce the notion of diversity order as a performance measure for distributed radar systems. We define the diversity order of a radar network as the slope of the probability of detection (PD) versus SNR evaluated at PD =0.5. We prove that the communication bandwidth between the sensors and the fusion center does not affect the growth in diversity order. We also prove that the OR rule leads to the best performance and its diversity order grows as (log K). We then introduce the notion of a random radar network to study the effect of geometry on overall system performance. We approximate th
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