SAR raw data simulation for multiple‐input multiple‐output video synthetic aperture radar using beat frequency division frequency modulated continuous wave

Abstract

Synthetic aperture radar (SAR) raw data simulation, operating under various scenarios, and realistic environments, are necessary for analyzing and verifying the performance aspects of SAR systems and the various algorithms used in them. In this article, we propose a method to simulate the raw data generated by multiple‐input multiple‐output video synthetic aperture radar (MIMO ViSAR) from a speckled scene, using beat frequency division (BFD) frequency‐modulated continuous wave (FMCW). Using an optical image as a reflectivity map for a realistic scene, we first multiply a speckle noise with this image to generate a speckled reflectivity map. We then compute the two‐dimensional convolutions of a SAR point spread function of a MIMO ViSAR system with the speckled reflectivity map to generate a complex SAR image. Finally, the SAR raw data is generated through inverse processing of the MIMO ViSAR system. We use the synthesized raw data to reconstruct SAR images, based on our previously proposed MIMO ViSAR signal‐processing algorithm, to demonstrate and verify the effectiveness of the proposed method.

Mobile multimedia computing in cyber-physical surveillance services through UAV-borne Video-SAR: A taxonomy of intelligent data processing for IoMT-enabled radar sensor networks

“…As pointed in Fig. 1 Video-SAR geometry; (a) circular and (b) linear [5] . the previous section, the issue of inter-frame overlapping is very important to achieve an enough frame-rate and spatial resolution at the same time.…”

“…Video-SAR is not much different from other SAR modes in this regard, however some specific issues of the video mode (as mentioned, distortions, overlapping, etc.) should be considered while designing signal processing algorithms [5,6,8,[27][28][29][30][31][32][33][34][35][36][37][38][39][40] . The main objective behind this paper is not signal processing aspects, thus we will discuss data processing in detail as follows.…”

“…[4] is one of the oldest and most leading research about Video-SAR which was published in 2010. Video-SAR has had a fast progress in the last decade in terms of academic attention and development in aspects of signal and data processing [5][6][7][8][9][10][11][12][13][14] . In this paper, the aim is to review the main objectives behind the Video-SAR systems in order to make a comprehensive systematic review with emphasis on data processing.…”

Raw Data Simulation of Spaceborne Synthetic Aperture Radar with Accurate Range Model

“…To test and evaluate the system parameters and imaging performance of spaceborne SAR, it is necessary to validate and test the raw data in system design and high-resolution imaging algorithm research. However, real data acquisition is often challenging due to the high launch cost of spaceborne SAR systems [9,10]. Therefore, generating simulated raw data that closely resemble actual data is a crucial issue in SAR simulation [11].…”

Random bit sequence generation from speckle patterns produced with multimode waveguides

“…Furthermore, the potential for random number generators to arise due to the intrinsic randomness of optical physical unclonable functions has been successfully demonstrated using optical waveguides to achieve a key rate of Mbit/s [11,12] with verified randomness, showing the promise of this technology. Other authors have explored speckle as a potential option for object detection or sensing [13], while further efforts were made by Fratalocchi et al [14] towards an all-optical physical unclonable function that relies on the speckle patterns observed when illuminating an aerogel sample, achieving a verified secure key generator.…”