Abstract: The application of iterative compressed sensing algorithms for automotive radar is often considered as too complex for real-time evaluation.
Abstract—The application of iterative compressed sens- ing algorithms for automotive radar is often considered as too complex for real-time evaluation. In this ...
May 20, 2019 · In order to reduce the amount of sampled data, random samples can be omitted and afterwards reconstructed using compressed sensing methods. A ...
We show, how Compressive Sensing reduces significantly the effort ... Experimental Evaluation of Compressive Sensing for DoA Estimation in Automotive Radar.
Aug 18, 2020 · Using Compressive Sensing, the effort in signal acquisition was reduced by. 70 %, while obtaining a radar perception robustness even for ...
This paper discusses automotive radar for road condition classification at 24 GHz and shows results of semi-passive and active radar transponders at 77 GHz.
Mar 27, 2023 · The simulation results show that CS can effectively relieve the storage and transmission pressure of the hardware by reducing the sampling rate ...
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This eBook is a compilation of recent articles published by Microwave Journal on mmWave technology, automotive radar sensor trends and innovation, choosing the ...
One of the main reasons for this is the effort in safety validation to prove functional safety to the customer. However, virtual testing may compromise this ...
Effort Considerations of Compressed Sensing for Automotive Radar · Fabian RoosPhilipp Hügler +5 authors. C. Waldschmidt. Engineering, Physics. 2019 IEEE Radio ...