Modeling and Simulink of Multi GNSS CRPA Signal Processing with Jammer Mitigation and Beamforming
Implementation Plan:
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Step 1: Initially, we constructed a Multi-GNSS signal simulation model with PRN code generation, navigation message encoding, Doppler modeling, and constellation geometry
Step 2: Then, we simulate the model and collect signal data with JSR and DOA data.
Step 3: Next, we preprocessed the collected multi-antenna signals data by adding noise, combining GNSS and jammer signals, and normalizing for beamforming and receiver processing.
Step 4: Next, we applied beamforming and MVDR adaptive algorithms for spatial filtering, null placement, and weight computation to suppress jammers based on collected data.
Step 5: Next, we implemented the FFT-based correlation method for tracking loops and positioning estimation using least-squares or Kalman filtering based on collected data.
Step 6: Finally, we evaluated performance metrics including:
6.1: ΔC/N₀ improvement (beamforming gain)
6.2: Null depth and DOA estimation accuracy
6.3: JSR breakdown threshold
6.4: Carrier tracking jitter
6.5: Pseudorange error
Software Requirements:
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1) Development Tool: MATLAB-R2023a or above
2) Operating System: Windows-10 (64-bit) or above
Note:
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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. Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming.
2) 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.
3) If the plan satisfies your requirement, Please confirm with us.
4) Project based on Simulation only.
5) This implementation plan completely works based on simulation.It satisfies your requirement, confirm us.
