پديد آورنده :
خنداني كوره كنان، مير مهدي
عنوان :
تخمين جهت ورود مبتني بر حسگري فشرده تك بيتي
مقطع تحصيلي :
كارشناسي ارشد
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
صفحه شمار :
نه، 69ص.: مصور، جدول، نمودار
يادداشت :
ص. ع. به فارسي و انگليسي
استاد راهنما :
احسان يزديان، محمد مهدي نقش
توصيفگر ها :
تخمين جهت سيگنال دريافتي , حسگري فشرده , نمايش تنك سيگنال , بهينه سازي محدب , نمونه برداري تك بيتي
استاد داور :
علي محمد دوست حسيني
تاريخ ورود اطلاعات :
1396/05/04
رشته تحصيلي :
برق و كامپيوتر
دانشكده :
مهندسي برق و كامپيوتر
چكيده انگليسي :
Direction of Arrival Estimation based on One Bit Compressive Sensing Mir Mahdi Khandani Koozehkonan Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan Iran Degree M Sc Language FarsiAbstract Array signal processing has been an active research area for the last decades Direction of Arrival DOA Estimation is animportant field in array signal processing where the objective is to locate the sources of the signals It has played an importantrole in widespread applications such as radar sonar wireless communications seismology biomedicine astronomy andimaging Numerous algorithms have been reported in the literature in the last several years each one trying to resolve somelimitations of previous ones Need for a large number of antennas and multiple snapshots are the main limitations of theconventional DOA algorithms Emergence of Compressed Sensing CS has attracted considerable research interest in thesignal processing community It makes it possible to sample sparse signals at rates far lower than the Shannon Nyquist ratewhereas signal recovering is guaranteed with high probability CS has branched out to many new fields and has worked itsway into several application areas like DOA estimation Applying CS to DOA estimation results in the snapshot reductionand also the need for fewer number of frontend circuit chains for the arrays CS has brought other benefits like possibilityof one bit sampling Thus far one bit samplers have used constant threshold but here time varying threshold is proposedinstead and then appropriate convex optimization problems specially for gridless CS DOA estimation is represented Thesimulation results show that the proposed time varying thresholding outperforms constant threshold samplers Key Words Direction of arrival DOA estimation compressed sensing CS sparse signal repre sentation convex optimization one bit sampling
استاد راهنما :
احسان يزديان، محمد مهدي نقش
استاد داور :
علي محمد دوست حسيني
