Modeling and Simulink of Space Time Adaptive Processing for Airborne Radar скачать в хорошем качестве

Modeling and Simulink of Space Time Adaptive Processing for Airborne Radar

Implementation Plan: --------------------------- Scenario 1: (Without Monopulse Estimator): ----------------------------------------------------- Step 1: Initially, we constructed the Simulink model for airborne radar STAP using the clutter and jammer mitigation and the array with a 11×11 rectangular planar array. Step 2: Then, we simulate the model and collect space-time data from the STAP with 11×11 planar array Step 3: Next, we analyze the covariance matrix estimation, clutter-plus-noise suppression, and adaptive weight computation for improved target detection based on collected STAP data Step 4: Finally, we evaluate and plot performance metrics as follows: 4.1: Time vs SINR (dB) 4.2: Time vs Target Output Power (W) 4.3: Time vs Clutter Suppression Level (dB) 4.4: Time vs Clutter Power (W) 4.5: Angle doppler response Graph (Before & After Filtering) (2D & 3D) Scenario 2: (With Monopulse Estimator): ------------------------------------------------- Step 1: Initially, we constructed the Simulink model for airborne radar STAP with Monopulse Estimator using the clutter and jammer mitigation and the array with a 11×11 rectangular planar array. Step 2: Then, we simulate the model and collect space-time data from the STAP with 11×11 planar array Step 3: Next, we analyze the covariance matrix estimation, clutter-plus-noise suppression, and adaptive weight computation for improved target detection based on collected STAP data Step 4: After that, we analyze the integrated monopoles estimator at the receiver output stage with three channel extractions based on collected data. Step 5: Finally, we evaluate and plot performance metrics as follows: 5.1: Time vs SINR (dB) 5.2: Time vs Target Output Power (W) 5.3: Time vs Clutter Suppression Level (dB) 5.4: Time vs Clutter Power (W) 5.5: Angle doppler response Graph (Before & After Filtering) (2D & 3D) Software requirement: --------------------------- 1. Development Tool: MatlabR2023a/Simulink or above 2. Operating System: Windows-10 (64-bit) or above Note: ------- 1) If the proposed plan does not fully align with your requirements, please provide all necessary details—including steps, parameters, models, and expected outcomes—in advance. 2) Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming. 3) If there's no built-in solution for what the project needs, we can always turn to reference models, customize our own, different math models or write the code ourselves to fulfil the process. 4) If the plan satisfies your requirement, Please confirm with us. 5) Project based on Simulation only. -------------------------------------------------- #STAP #SpaceTimeAdaptiveProcessing #AirborneRadar #RadarSignalProcessing #RadarSystems #PhasedArrayRadar #AdaptiveFiltering #ClutterSuppression #TargetDetection #DopplerProcessing #Beamforming #ElectronicWarfare #DefenseTechnology #MATLAB #Simulink #MATLABSimulink #SignalProcessing #ArrayProcessing #MIMO #EngineeringResearch #ResearchPaperWriting #IEEEPaperWriting #ScopusPublication #SCIJournal #PhDResearchSupport #ThesisWritingServices #AcademicWritingServices #TechnicalWriting #CodingServices #MATLABProjects #PythonProjects #ImplementationServices #SimulationSupport -------------------------------------------------------------- We are pleased to offer guidance and support for your MATLAB and SIMULINK results or solutions. Our team of experts is equipped to provide comprehensive assistance to ensure optimal outcomes. We support Simulation source for all your MATLAB requirements . Contact us at: https://matlabprojects.org/ matlabprojectsorg@gmail.com (+91) – 9790238391