Implementation and enhancement of Hilbert transform-based calibration in a K band FMCW radar for high-resolution security applications

This paper presents the design and calibration of a short-range, K band (18-26 GHz) frequency modulated continuous wave (FMCW) radar prototype with a theoretical range resolution of 2 cm, making it suitable for security screening applications. Additionally, this work examines the theoretical considerations for expanding the calibration algorithm for potential application in synthetic aperture radar (SAR). Radar based security scanners rely on large signal bandwidth to achieve range (depth) resolution capabilities on the order of a few centimeters; a system capable of 2 cm range resolution – an approximate requirement for a security sensor - must operate with 8 GHz of bandwidth. The radar presented in this paper uses commercially available off-the-shelf components to achieve the required bandwidth while minimizing prototyping cost. However, with 36% fractional bandwidth at 22 GHz, frequency dependent amplitude ripple and non-linear phase responses of the RF front end distort the radar signal, counteracting the benefit gained from wideband operation and degrading the attained resolution. The effects of this signal distortion are mitigated by implementing a Hilbert transform based calibration procedure that involves estimating the complex analytical signal of the measured radar response and then removing the unwanted components using a reference signal. Extending this algorithm for SAR requires recovering relative phase information that is lost during calibration and the procedure is discussed in this paper. At 2.5 m distance, the calibrated radar successfully resolves targets separated by 2.5 cm - a significant improvement from un-calibrated data wherein the same targets were indistinguishable even with 20 cm separation.

[1]  K. D. Ward,et al.  Simple techniques to correct for VCO nonlinearities in short range FMCW radars , 1996, 1996 IEEE MTT-S International Microwave Symposium Digest.

[2]  D. Daniels EM Detection of Concealed Targets , 2009 .

[3]  Nuria Llombart,et al.  THz Imaging Radar for Standoff Personnel Screening , 2011, IEEE Transactions on Terahertz Science and Technology.

[4]  Cornel Ioana,et al.  Nonlinearity correction algorithm for wideband FMCW radars , 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

[5]  Xun Gong,et al.  Pactive sensors for security applications , 2013, WAMICON 2013.

[6]  Gregory L. Charvat,et al.  Small and Short-Range Radar Systems , 2014 .

[7]  C. Li,et al.  Terahertz imaging based on Hilbert receiver , 2016, 2016 41st International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz).

[8]  Mandy Eberhart,et al.  Spotlight Synthetic Aperture Radar Signal Processing Algorithms , 2016 .

[9]  Gokhan Mumcu,et al.  An 18–26 GHz range calibrated linear synthetic aperture radar prototype suitable for security applications , 2018, 2018 IEEE 19th Wireless and Microwave Technology Conference (WAMICON).

[10]  Jeffrey A. Nanzer,et al.  Microwave and Millimeter-Wave Remote Sensing for Security Applications , 2020 .

[11]  Tsuyoshi Murata,et al.  {m , 1934, ACML.