Zixiang Yang, Beijing Institute of Technology

Xu Zhang, Doctor

Fractal Sparse Array Based on High-Order Difference Co-Array

9:30-10:20 July 21 (Friday), N226

Array signal processing plays an important role in the fields of radar, sonar, communications and radio astronomy, where array geometry design is one of the core issues.  Sparse linear arrays with non-uniform inter-element spacings have the ability to resolve more uncorrelated sources than the number of physical sensors in direction of arrival (DOA) estimation. Sparse arrays based on the high-order difference co-array concept provide a large number of degrees of freedom, but are typically difficult to design under multiple optimality criteria.

In this talk, we will discuss a joint across-order and inner-order fractal framework to form a fractal array based on the 2qth-order difference co-array (2qth-O-Fractal) by recursively using a simple generator. We will show that multiple properties of interest, including large consecutive difference co-array, closed-form sensor positions, hole-free difference co-array, robustness to sensor failures, and resilience to mutual coupling, are inherited from the generator under appropriate conditions. Simulation results verify the superiority of the proposed framework in terms of estimation accuracy and resolution capability.

报告人简介：杨子翔，目前在北京理工大学信息与电子学院攻读博士学位，2017年本科毕业于电子科技大学。研究方向为阵列信号处理、雷达信号处理及其工程应用。多篇论文发表在IEEE TSP、IEEE SPL等信号处理领域顶级期刊，曾参与多个航天项目的研制。