Performance comparison of DAS and BP algorithms for Synthetic Aperture Radar Imaging

In the Synthetic Aperture Radar (SAR) research environment Imaging concept plays a very important role. However, many challenges and complexities to forming an image, and many algorithms were developed accordingly. Most of the algorithms were developed by approaching the conventional SAR imaging algorithms like Delay and Sum algorithm (DAS) and Back Projection Algorithm (BPA). This paper presents an overview of these two significant SAR imaging algorithms. The preliminary objective of this paper is to summarize the fundamentals, challenges, and latest advancements in SAR imaging by providing their mathematical framework. We briefly presented the state of the art of SAR imaging and implementations. Also, we compared the algorithms in metrics of noisy environments, execution time, and image resolution for the different algorithms used.

I. Introduction

Radars produce their own signal for processing and analyzing and they can also function during the day or night. The radar imaging concept originated long back in the 1950s and very important milestone. Radars have been widely used in many applications in the Military, Medical, Civilian, and many others. In addition to this, radar signals typically invade through clouds and rain and fog conditions therefore the radar images can be acquired not only during day or night but also in all weather conditions.