Signal Processing for Low-Power and Low-Cost Radar Systems in Bicycle Safety Applications

被引：2

作者：

Dorn, Christian ^{[1
,2
]}

Kurin, Thomas ^{[2
]}

Erhardt, Stefan ^{[2
]}

Lurz, Fabian ^{[3
]}

Hagelauer, Amelie ^{[1
,4
]}

机构：

[1] Tech Univ Munich, Chair Micro & Nanosyst Technol, D-80333 Munich, Germany

[2] Univ Erlangen Nurnberg, Inst Elect Engn, D-91058 Erlangen, Germany

[3] Hamburg Univ Technol, Inst High Frequency Technol, D-21037 Hamburg, Germany

[4] Fraunhofer Res Inst Microsyst & Solid State Techn, D-80686 Munich, Germany

来源：

2022 IEEE TOPICAL CONFERENCE ON WIRELESS SENSORS AND SENSOR NETWORKS (WISNET) | 2022年

关键词：

dsp; edge computing; FMCW; radar;

D O I：

10.1109/WiSNet53095.2022.9721356

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this publication a miniaturized low-power radar system is introduced that allows detection, tracking and measurement of motorized vehicles passing a bicycle rider. The main focus of this paper is to show a system that is responding with a situation adapted modulation to different measurement requirements while keeping power consumption and BOM cost to a minimum. This is achieved with using an integrated 60 GHz radar and a STM32 ultra-low-power microcontroller for the required signal processing.

引用

页码：11 / 13

页数：3

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