An End-to-End Simulator for Testing Array Processing Algorithms

Le résumé fourni par la source

Testing array processing algorithms requires realistic data that captures both hardware non-idealities and environmental complexities, but collecting comprehensive experimental datasets is often impractical. We present an open-source end-to-end simulator that addresses this challenge by providing a modular, GPU-accelerated framework for evaluating array processing algorithms under realistic conditions. Our simulator integrates high-fidelity models of the entire processing chain, from waveform generation through downstream tasks. Key innovations include a complete PyTorch-based implementation that enables efficient simulation of dynamic wireless channels, RF frontend non-idealities, digitization artifacts, and algorithms for beamforming and imaging. Simulated results on realistic scenarios demonstrate the performance of both classical and modern array processing algorithms with the effect of various detrimental effects. The simulator provides researchers with a powerful tool for prototyping and evaluating array processing algorithms for hardware deployment.

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