Effort Considerations of Compressed Sensing for Automotive Radar

被引：2
|
作者：
Roos, Fabian [1 ]
Huegler, Philipp [1 ]
Bechter, Jonathan [1 ]
Razzaq, Muhammad Ahsan [1 ]
Knill, Christina [1 ]
Appenrodt, Nils [2 ]
Dickmann, Juergen [2 ]
Waldschmidt, Christian [1 ]
机构：
[1] Ulm Univ, Inst Microwave Engn, D-89081 Ulm, Germany
[2] Daimler AG, Grp Res & Adv Engn, D-89081 Ulm, Germany
来源：
2019 IEEE RADIO AND WIRELESS SYMPOSIUM (RWS) | 2019年
关键词：
D O I：
10.1109/rws.2019.8714419
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
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.
引用
收藏
页码：11 / 13
页数：3
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