Effort Considerations of Compressed Sensing for Automotive Radar

Autor: Muhammad Ahsan Razzaq, Jonathan Bechter, Jurgen Dickmann, Christian Waldschmidt, Nils Appenrodt, Fabian Roos, Philipp Hugler, Christina Knill
Rok vydání: 2019
Předmět:
Zdroj: RWS
DOI: 10.1109/rws.2019.8714419
Popis: 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.
acceptedVersion
Databáze: OpenAIRE