Speaker: Zhiguo Shi

Affiliation: College of Information Science and Electronic Engineering, Zhejiang University

Academic title: Full Professor

Honorary title: Vice dean

Abstract:

Direction-of-Arrival (DOA) estimation is a fundamental nonlinear parameter estimation problem for various IoT applications. As an important metric for evaluating estimation accuracy, mean squared error (MSE) lower bound has attracted great research interest over the past few decades. Since the 1980s, the Cramér-Rao bound (CRB) has been widely adopted, which only guarantees asymptotic tightness. In contrast, the Ziv-Zakai bound (ZZB) has global tightness, which is appropriate for a single-source DOA estimation only. In this talk, we introduce the closed-form solution of ZZB for multi-source DOA estimation. Specifically, we give a generalization from single-source ZZB to multi-source scenario, and analyze the effect of the ordering process required by MSE calculation on the MSE convergence in the a priori performance region. The provided ZZB for multi-source coherent/non-coherent DOA estimation realizes global tightness by formulatng as a linear combination between the CRB and the a priori bound (APB).

Biography:

Zhiguo SHI，Full professor and Vice dean, College of Information Science and Electronic Engineering, Zhejiang University. He is the Executive Deputy Director of the Zhejiang Province Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems, and the recipient of the Zhejiang Province Outstanding Youth Fund. His current research interests include signal processing theory and application, and IoT system. He is the IEEE VTS Distinguished Lecturer (2023-2025), Member of the Sensor Array and Multichannel (SAM) Technical Committee of the IEEE Signal Processing Society, and Member of the Digital Signal Processing (DSP) Technical Committee of the IEEE Circuit and System Society.