A high-speed multi-purpose software defined radar for near-field applications

Wenda Li; Chong Tang; Shelly Vishwakarma; Fangzhan Shi; Robert Piechocki; Kevin Chetty

doi:10.1109/radarconf2248738.2022.9764260

A high-speed multi-purpose software defined radar for near-field applications

Wenda Li, Chong Tang, Shelly Vishwakarma, Fangzhan Shi, Robert Piechocki, Kevin Chetty

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Software Defined Radar (SDRadar) is a unique radar system, where most of its processing, like filtering, correlation, signal generation etc. is performed by software. This means SDRadar can be flexibly deployed for different purposes and with a relative short development process. In this paper, we present a generic SDRadar system that can operate in different setups for near-field monitoring applications. Practical solutions for traditional limitations in SDRadar and high sampling rates are introduced, and its performance is demonstrated using a commercial universal software radio peripheral (USRP) device with four synchronized receiving channels and a maximum sampling rate of 100MHz. Additionally, a GPU accelerator has been implemented to deal with the high sampling rate. Three different setups have been tested to demonstrate the feasibility of the propose SDRadar system with distributed nodes, vertically positioned nodes and a miniature scenario. Recorded Doppler signatures have shown the proposed SDRadar can effectively capture the body and hand gestures. Such results can be used in a range of applications such as eHealth, human-machine interaction and indoor tracking.

Original language	English
Title of host publication	IEEE Radar Conference 2022
Subtitle of host publication	Conference Proceedings
Place of Publication	New York City, NY
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781728153681
ISBN (Print)	9781728153698
DOIs	https://doi.org/10.1109/radarconf2248738.2022.9764260
Publication status	Published - 21 Mar 2022
Event	2022 IEEE Radar Conference - Sheraton New York Times Square, New York, United States Duration: 21 Mar 2022 → 25 Mar 2022 https://www.radarconf2022.org/

Conference

Conference	2022 IEEE Radar Conference
Abbreviated title	RadarConf22
Country/Territory	United States
City	New York
Period	21/03/22 → 25/03/22
Internet address	https://www.radarconf2022.org/

Keywords

Software Defined Radar
Doppler signature
multichannel
Real-Time
GPU accelerator

Access to Document

10.1109/radarconf2248738.2022.9764260

Author Accepted ManuscriptAccepted author manuscript, 3.52 MB

Cite this

@inproceedings{25c9a078e8794e86aabf5412b4101e0e,

title = "A high-speed multi-purpose software defined radar for near-field applications",

abstract = "Software Defined Radar (SDRadar) is a unique radar system, where most of its processing, like filtering, correlation, signal generation etc. is performed by software. This means SDRadar can be flexibly deployed for different purposes and with a relative short development process. In this paper, we present a generic SDRadar system that can operate in different setups for near-field monitoring applications. Practical solutions for traditional limitations in SDRadar and high sampling rates are introduced, and its performance is demonstrated using a commercial universal software radio peripheral (USRP) device with four synchronized receiving channels and a maximum sampling rate of 100MHz. Additionally, a GPU accelerator has been implemented to deal with the high sampling rate. Three different setups have been tested to demonstrate the feasibility of the propose SDRadar system with distributed nodes, vertically positioned nodes and a miniature scenario. Recorded Doppler signatures have shown the proposed SDRadar can effectively capture the body and hand gestures. Such results can be used in a range of applications such as eHealth, human-machine interaction and indoor tracking.",

keywords = "Software Defined Radar, Doppler signature, multichannel, Real-Time, GPU accelerator",

author = "Wenda Li and Chong Tang and Shelly Vishwakarma and Fangzhan Shi and Robert Piechocki and Kevin Chetty",

note = "Engineering and Physical Sciences Research Council (EPSRC) (Grant Number: EP/R018677/1).; 2022 IEEE Radar Conference, RadarConf22 ; Conference date: 21-03-2022 Through 25-03-2022",

year = "2022",

month = mar,

day = "21",

doi = "10.1109/radarconf2248738.2022.9764260",

language = "English",

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booktitle = "IEEE Radar Conference 2022",

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TY - GEN

T1 - A high-speed multi-purpose software defined radar for near-field applications

AU - Li, Wenda

AU - Tang, Chong

AU - Vishwakarma, Shelly

AU - Shi, Fangzhan

AU - Piechocki, Robert

AU - Chetty, Kevin

N1 - Engineering and Physical Sciences Research Council (EPSRC) (Grant Number: EP/R018677/1).

PY - 2022/3/21

Y1 - 2022/3/21

N2 - Software Defined Radar (SDRadar) is a unique radar system, where most of its processing, like filtering, correlation, signal generation etc. is performed by software. This means SDRadar can be flexibly deployed for different purposes and with a relative short development process. In this paper, we present a generic SDRadar system that can operate in different setups for near-field monitoring applications. Practical solutions for traditional limitations in SDRadar and high sampling rates are introduced, and its performance is demonstrated using a commercial universal software radio peripheral (USRP) device with four synchronized receiving channels and a maximum sampling rate of 100MHz. Additionally, a GPU accelerator has been implemented to deal with the high sampling rate. Three different setups have been tested to demonstrate the feasibility of the propose SDRadar system with distributed nodes, vertically positioned nodes and a miniature scenario. Recorded Doppler signatures have shown the proposed SDRadar can effectively capture the body and hand gestures. Such results can be used in a range of applications such as eHealth, human-machine interaction and indoor tracking.

AB - Software Defined Radar (SDRadar) is a unique radar system, where most of its processing, like filtering, correlation, signal generation etc. is performed by software. This means SDRadar can be flexibly deployed for different purposes and with a relative short development process. In this paper, we present a generic SDRadar system that can operate in different setups for near-field monitoring applications. Practical solutions for traditional limitations in SDRadar and high sampling rates are introduced, and its performance is demonstrated using a commercial universal software radio peripheral (USRP) device with four synchronized receiving channels and a maximum sampling rate of 100MHz. Additionally, a GPU accelerator has been implemented to deal with the high sampling rate. Three different setups have been tested to demonstrate the feasibility of the propose SDRadar system with distributed nodes, vertically positioned nodes and a miniature scenario. Recorded Doppler signatures have shown the proposed SDRadar can effectively capture the body and hand gestures. Such results can be used in a range of applications such as eHealth, human-machine interaction and indoor tracking.

KW - Software Defined Radar

KW - Doppler signature

KW - multichannel

KW - Real-Time

KW - GPU accelerator

U2 - 10.1109/radarconf2248738.2022.9764260

DO - 10.1109/radarconf2248738.2022.9764260

M3 - Conference contribution

SN - 9781728153698

BT - IEEE Radar Conference 2022

PB - IEEE

CY - New York City, NY

T2 - 2022 IEEE Radar Conference

Y2 - 21 March 2022 through 25 March 2022

ER -

A high-speed multi-purpose software defined radar for near-field applications

Abstract

Conference

Keywords

Access to Document

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Cite this