Speaker: Jian Gong

Affiliation: Air Force Engineering University

Academic title: Air Force Engineering University

Honorary title: Military Young Talent

Abstract:

DOA is a key issue in Passive Radar target localization and tracking. Due to the use of non cooperative sources, low range-Doppler resolution, and 2D coherent accumulation, Passive Radar’s DOA faces problems such as low signal-to-noise ratio, single snapshot, and coherent sources. In response to the above issues, methods for constructing covariance matrices in relevant data domains, direct data domains, and singular value decomposition were studied. Transforming the angle estimation problem into a frequency estimation problem, a target DOA estimation method based on A&M Relax is proposed; A model for direct wave and ground multipath clutter in complex terrain has been established, and a non parametric amplitude and phase estimation algorithm based on synthetic direction vector has been proposed. Using the DTMB signal source, experiments were conducted to detect low speed small unmanned aerial vehicles, and actual data was collected for algorithm testing and validation.

Biography:

Jian Gong received an M.S. degree in circuits and systems from Air Force Engineering University, Xi’an, China, in 2009. He received Ph.D. degrees in pattern recognition and intelligent systems from Xidian University in 2018. He was a post-doctoral researcher at University of Electronic Science and Technology of China in 2019. He has won the second prize of the Military Science and Technology Progress Award and the second prize of the Invention and Innovation Award of the China Invention Association. His research interests currently focus on Passive radar target positioning, and radar electronic warfare theory and technology.