Efficient Coherent Integration for Digital Video Broadcast-Based Passive Bistatic Radars

Abstract

Passive Bistatic Radars (PBRs) Systems exploit non-cooperative illuminators, such as commercial broadcast stations, cellular base stations, and Wi-Fi hotspots, to perform detection and localization of moving targets. Due to their extraordinary merits of low cost, electromagnetic compatibility, potential anti-stealth capacity and immunity to electronic countermeasures, the past few years have witnessed a significant growth of interest and extensive research achievements in the realm of PBR technology. Without dedicated transmitters, the PBR echo signals received from distant targets with a small radar cross section become extremely weak and, thereby, may easily be obscured by noise and residue clutter. In this context, the long-time coherent integration process plays an important role in PBR to increase the signal-to-interference plus noise ratio (SINR) to a detectable level. In order to perform coherent integration, PBR systems compute the cross-ambiguity function (CAF), which is the two-dimensional cross-correlation with respect to the time delay and the Doppler shift, between the reference signal directly received from an illuminator and the echo signal received from target scattering. The computation of the CAF is the most computationally demanding step in PBR signal processing and, therefore, has been the subject of intensive investigations. In this seminar, we will look at novel efficient coherent integration algorithms for digital video broadcast-based PBR systems in the presence of range and Doppler migration. Experiments on real measured data will be shown.

Biography

Dr. Shengheng Liu is currently a Postdoctoral Researcher at the Agile Tomography Group, IDCom, School of Engineering, The University of Edinburgh. Prior to joining UoE, he obtained the BEng and PhD in Electronics Engineering from the School of Information and Electronics, Beijing Institute of Technology, China, in 2010 and 2017 respectively. He also worked as a Visiting Research Associate in 2016 at the Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA, which was supported by the China Scholarship Council. His research interests include time-frequency analysis for non-stationary signals, interference cancellation and coherent integration algorithms for passive bistatic radars, as well as medical imaging based on electrical impedance tomography. He is frequently a reviewer for IEEE Trans. Signal Process., IEEE Trans. Audio Speech Lang. Process., IEEE Signal Process. Lett., Signal Process., and Electron. Lett.