Hui Li

Professor   Supervisor of Doctorate Candidates   Supervisor of Master's Candidates

Main positions:信息与通信工程学院副院长

Gender:Female

Alma Mater:Royal Institute of Technology

Degree:Doctoral Degree

School/Department:School of Information and Communication Engineering

Discipline:Communication and Information Systems. Electromagnetic Field and Microwave Technology

Business Address:No. 2, Linggong Road, Dalian University of Technology, Dalian, Liaoning Province; 116024

Contact Information:hui.li@dlut.edu.cn

E-Mail:hui.li@dlut.edu.cn


Paper Publications

Noise modeling, evaluation and reduction for the atmospheric lidar technique employing an image sensor

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Indexed by:期刊论文

Date of Publication:2018-11-01

Journal:OPTICS COMMUNICATIONS

Included Journals:SCIE、Scopus

Volume:426

Page Number:463-470

ISSN No.:0030-4018

Key Words:Lidar; Scheimpflug lidar; Remote sensing and sensors; Image sensor; Noise modeling

Abstract:Atmospheric lidar signal, measured by the lidar technique employing an image sensor, suffers from sunlight shot noise, dark current noise, readout noise, and fixed pattern noise (FPN) of the image sensor. A noise model has been established to describe the noise characteristics and verified by evaluating lidar signals measured by an 808-nm Scheimpflug lidar system employing a CMOS image sensor as the detector. The sunlight shot noise and the photo-response non-uniformity (PRNU) noise that is one of the FPNs are found to be the primary noise sources of the lidar signal. The PRNU noise ratio is strongly dependent on the total illumination intensity of the image sensor and is minimized under high-light-level conditions. Thus, automatic exposure is suggested to achieve the best signal-to-noise ratio. Three different digital filters are employed to suppress the noise of the lidar signals, among which the Savitzky-Golay filter achieves the best performance. Moreover, a signal resampling method is proposed to improve the SNR for the near-range lidar signal. This work provides an in-depth understanding of the noise characteristics and proposes dedicated signal processing methods for atmospheric lidar techniques employing image sensors as detectors.

Pre One:Design of Wearable Dual-antenna System Based on Theory of Characteristic Mode

Next One:Direction of Arrival Estimation Using Amplitude and Phase Information in Low-Profile MIMO Arrays

Profile

Hui Li was born in Heilongjiang province, China. She received the B.E. degree in optical engineering from Tianjin University (TJU), China, in 2007 and Ph.D degree in electrical engineering from the Royal Institute of Technology (KTH), Sweden, in 2012. She is currently an associate professor at Dalian University of Technology. Research Interests:Multiple input multiple output systems, millimeter wave antenna, implantable antnena, RFID, theory of characteristic mode and etc.