关于举行肖运海教授（河南大学）学术报告的通知

报告题目: An Efficient Method for Joint Delay-Doppler Estimation of Moving Targets in Passive Radar

报  告  人: 肖运海  教授

报告时间: 2023年 12月18日（星期一）11:00-12:00              

报告地点：37号楼3A02

邀  请  人: 潘少华  教授

数学学院

2023年12月13日

报告摘要：Passive radar systems can detect and track the moving targets of interest by exploiting non-cooperative illuminators-of-opportunity to transmit orthogonal frequency division multiplexing (OFDM) signals. These targets are searched using a bank of correlators tuned to the waveform corresponding to the given Doppler frequency shift and delay. In this talk, we study the problem of joint delay-Doppler estimation of moving targets in OFDM passive radar. This task of estimation is described as an atomic-norm regularized convex optimization problem, or equivalently, a semi-definite programming problem. The alternating direction method of multipliers (ADMM) can be employed which computes each variable in a Gauss-Seidel manner, but its convergence is lack of certificate. In this paper, we use a symmetric Gauss-Seidel (sGS) to the framework of ADMM, which only needs to compute some of the subproblems twice but has the ability to ensure convergence. We do some simulated experiments which illustrate that the sGS-ADMM is superior to ADMM in terms of accuracy and computing time. 

报告人简介：肖运海，河南大学教授、博士生导师、河南省特聘教授、河南省杰青。研究方向为最优化算法及其应用。在优化领域权威期刊MPC\COAP\JSC\CSDA等发表学术论文50余篇。主持国家自然科学基金3项，参加973计划1项。担任中国运筹学会副秘书长，中国工业与应用数学学会理事，河南省运筹学会副理事长、河南省应用数学中心执行主任、河南大学学术委员会委员等。