Squint SAR Algorithm for Real-Time SAR Imaging

• Published in: IEEE International Conference on Electronics, Computing and Communication Technologies (Online) pp. 1 - 4
• Main Authors: Sahay, Peeyush, B., Vaidya DhavalKumar, Lokesh Kiran, Kadali
• Format: Conference Proceeding
• Language: English
• Published: IEEE 08.07.2022
• Subjects: Hardware; high-resolution SAR; High-squint; Image resolution; large swath SAR; Memory management; Motion compensation; Multicore processing; Radar polarimetry; Real-time systems; spot mode SAR; ω-k real-time implementation
• ISSN: 2766-2101
• DOI: 10.1109/CONECCT55679.2022.9865811

Conventional squint mode ω-k algorithm requires higher memory and processing time to generate synthetic aperture radar (SAR) images in the case of a large range to scene center, high squint, and large swath. The high memory and processing time requirements make the algorithm the least preferred solution to implement in real-time SAR image generation on multi-core processor hardware. This paper presents various real-time implementation problems associated with conventional squint mode ω-k algorithm implementation. This paper presents a squint ω-k algorithm with a modified time-domain reference function generation approach to mitigate the multi-core processor's processing time and memory requirement problems for real-time SAR image generation. The proposed method is implemented on real-time hardware and validated on real SAR data for 1-meter and 3-meter resolutions.