Effort Considerations of Compressed Sensing for Automotive Radar

The application of iterative compressed sensing algorithms for automotive radar is often considered as too complex for real-time evaluation. In this paper, it is shown that the number of required iterations can be chosen considerable low. To determine the necessary steps, a quality criterion is evaluated. The two examined scenarios are a reduced data rate and an interference mitigation. Measurement results are shown for different numbers of iterations to verify the sufficient reconstruction capabilities.