Self-Interference Cancellation for Software-Defined Radar Using Coupling Properties of Channels

This paper presents a new software-defined radar with multiple frequency continuous waves (MFCW) and a self-interference cancellation algorithm. The presented radar is implemented as a highly reconfigurable system that is made of a USRP X310, two patch antennas and the GNU Radio software. Most of the radar operations can be configured and controlled by the software. The transmitter and receiver channels are in one radio-frequency frontend of the USRP X310, thus releasing the remaining channels for other purposes. The radar is experimentally evaluated in indoor scenarios, operating at a frequency of 4.25 GHz while transmitting MFCW signals within a narrow bandwidth. Experimental results demonstrate that the implemented algorithm enables the SDRadar to effectively measure short-range targets.

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Published
2025-03-30
DOI
https://doi.org/10.23919/eucap63536.2025.10999435
Primary Topic
Full-Duplex Wireless Communications
Type
article
Field-Weighted Citation Impact
0.00

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article

Self-Interference Cancellation for Software-Defined Radar Using Coupling Properties of Channels

Siyu Xia, Xiao Ma, Qi Wu
Full-Duplex Wireless Communications
article

Self-Interference Cancellation for Software-Defined Radar Using Coupling Properties of Channels

Siyu Xia, Xiao Ma, Qi Wu
article en

Abstract

This paper presents a new software-defined radar with multiple frequency continuous waves (MFCW) and a self-interference cancellation algorithm. The presented radar is implemented as a highly reconfigurable system that is made of a USRP X310, two patch antennas and the GNU Radio software. Most of the radar operations can be configured and controlled by the software. The transmitter and receiver channels are in one radio-frequency frontend of the USRP X310, thus releasing the remaining channels for other purposes. The radar is experimentally evaluated in indoor scenarios, operating at a frequency of 4.25 GHz while transmitting MFCW signals within a narrow bandwidth. Experimental results demonstrate that the implemented algorithm enables the SDRadar to effectively measure short-range targets.

Beihang University (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 91%
Full-Duplex Wireless Communications
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