پديد آورنده :
صباحي، محمدفرزان
عنوان :
به كارگيري روشهاي مبتني بر شبيه سازي در آشكار سازي راداري
صفحه شمار :
چهارده، 135،[II] ص: جدول، نمودار
يادداشت :
ص. ع به: فارسي و انگليسي
استاد راهنما :
محمود مدرس هاشمي
توصيفگر ها :
معيار MAP , شبه مونت كارلو , روش لاپلاس , فيلتر SIR , بوت استرپ , كلاتر گوسي
تاريخ نمايه سازي :
29/2/87
استاد داور :
محمدرضا تابان، محمدعلي خسروي فرد، جمال الدين گلستاني، محمد مهدي نايبي
تاريخ ورود اطلاعات :
1397/08/28
دانشكده :
مهندسي برق و كامپيوتر
كد ايرانداك :
ID198 دكتري
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتال
چكيده انگليسي :
AbstractIn this thesis the application of simulation based methods in Radar detection is studied In these methods parameter estimation and calculation of the integrals are done by generating random samples Specially twodetectors based on Importance Sampling are presented In these detectors which are called Particle Detector PD the approximated likelihood ratio is calculated by Monte Carlo sampling In the first detector theunknown parameters are first estimated and are substituted in the likelihood ratio In the second detector theunconditioned likelihood ratio is obtained by integrating out the unknown parameters Due to numericalapproach in these methods they can be applied in many detection problems which do not have closed formsolutions Simulation results show that for problems in which the Generalized Likelihood Ratio Test GLRT can be applied the performance of the proposed detectors and the GLRT are approximately the same Onthe other hand the proposed detectors can be used in many problems in which the Maximum Likelihood ML estimates of unknown parameters do not exist or some prior information about the parameters isavailable In addition to the simulation based methods a new approach for detecting a target with an unknownamplitude in clutter is proposed The received signal models under two hypotheses H0 and H1 are assumedto be the same except that the target amplitude is zero under H0 Using the Bayesian approach it is shownthat the likelihood ratio can be calculated as the ratio of the prior and the posterior probabilities of the targetamplitude Based on this relation a new method for target detection in Gaussian clutter is presented namely Prior Posterior Ratio Test PPRT This method is applied to white and colored clutter with known orunknown statistics Simulation results show that the proposed detector has much better performancecompared to the conventional GLRT detectors It is also shown that with some modifications in detectionrule the proposed detector exhibits Constant False Alarm Rate CAFR property
استاد راهنما :
محمود مدرس هاشمي
استاد داور :
محمدرضا تابان، محمدعلي خسروي فرد، جمال الدين گلستاني، محمد مهدي نايبي
