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

页码：11 / 13

页数：3

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