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Title Performance Comparison of Beat Frequency Extraction Algorithm and Cross Correlation Algorithm for FMCW Radar Signal Processing Implemented on LabVIEW and USRP
Posted by Olga Joy Gerasta
Authors Pongcol,Daryl ; Gerasta,Olga Joy ; Macasero,Jesrey Martin ; Ylaya,Vrian Jay ; Pandian,Najie ; Caberos,Aileen
Publication date 2020/04/23
Journal IEEE (Institute of Electrical and Electronics Engineering)
Issue Electronic ISBN:978-1-7281-3044-6 / Print on Demand(PoD) ISBN:978-1-7281-3045-3
Pages 6
Publisher IEEE (Institute of Electrical and Electronics Engineering)
Abstract There are two prominent ways of implementing signal processing of FMCW radar in SDRs, namely i) the Beat Frequency Extraction Algorithm and ii) Cross Correlation Algorithm. The former is done by numerical mixing of the reference signal and the received signal first and then performing an FFT to detect the beat frequency that is then processed to output range information. Moreover, the latter is done by using cross correlation on the reference signal and the received signal. The aim of this paper is to scrutinize these two algorithms when they are implemented on the NI-USRP SDR platform and determine which is best for FMCW radar target detection accuracy. This paper gives guidance on the pros and cons of choosing such algorithm when being implemented on the USRP platform with LabVIEW as the development environment. The implementation of the two systems are based on these conditions: i) Carrier signal is 2Ghz, ii) Loopback cable is RG58 with lengths= 6m, 8m, 14m, 22m, and iii) Output RF Power of device is 70mW. Given the performance criteria of this paper, the Beat Frequency algorithm performed best compared to the Cross-Correlation algorithm.
Index terms / Keywords Lab , RF communications , Signal Processing , Software Defined Radio (SDR) , Universal Serial Radio Peripheral (USRP)
DOI 10.1109/HNICEM48295.2019.9073501