Improved Methods for Fourier-Based Microwave Imaging

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 22; p. 9250
• Main Authors: Alvarez López, Yuri, Las-Heras Andrés, Fernando
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-11-2023
• Subjects: Algorithms; antenna measurement; Antennas; Antennas (Electronics); delay-and-sum (DAS); Electromagnetism; Fourier transforms; Fourier-based imaging; Imaging systems; Methods; microwave imaging; plane wave spectrum (PWS); Radiation; Spectrum allocation
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s23229250

Fourier-based imaging has been widely adopted for microwave imaging thanks to its efficiency in terms of computational complexity without compromising image resolution. Together with other backpropagation imaging algorithms like delay-and-sum (DAS), they are based on a far-field approach to the electromagnetic expression relating to fields and sources. To improve the accuracy of these techniques, this contribution presents a modified version of the well-known Fourier-based algorithm by taking into account the field radiated by the Tx/Rx antennas of the microwave imaging system. The impact on the imaged targets is discussed, providing a quantitative and qualitative analysis. The performance of the proposed method for subsampled microwave imaging scenarios is compared against other well-known aliasing mitigation methods.