Invited Speakers  特邀嘉宾

Prof. Haixin Sun
Xiamen University, China

Haixin Sun is the professor of Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education in the school of Informatics in Xiamen University. His research interest covers signal processing, underwater acoustic communication, Marine biological detection and identification. He has published 89 papers in IEEE TIE, JASA, IEEE TVT, Applied Acoustic, Journal of Acoustics and other international journals and conferences, and authorized 26 patents and software Copyrights. In recent years, it has mainly undertaken 22 projects of national Natural Fund, national key RESEARCH and development, national defense and military industry, presided over ten military industry projects, participated in four horizontal projects of military industry, and made significant progress in the fields of military equipment manufacturing and underwater acoustic communication. In addition, he is a reviewer of Applied Acoustic, China Ocean Engineering and Chinese Journal of Acoustics. He is a member of IEEE, a member of Xiamen Communication Society, and a member of Xiamen Electronics Society.




Assoc. Prof. Ming Zhang
Xi'an Jiaotong University, China

Ming Zhang received the Ph.D. degree in electronic science and technology from Xi'an Jiaotong University, Xi'an, China, in 2017. From 2011 to 2014, he was with Huawei Technologies Co., Ltd., Xi’an, China. He is currently an associate professor at Xi'an Jiaotong University. His research interests include array signal processing and numerical optimization, with applications to radar, satellite navigation, and wireless communications. He has coauthored more than 10 papers in IEEE Signal Process. Mag., IEEE Trans. Signal Process., IEEE Trans. Antennas Propag., and IEEE Trans. Aerosp. Electron. Syst. He won the Young Investigator Award in 2017 in the 7th ICICT (International Congress of Information and Communication Technology). He was funded by the National Natural Science Foundation of China (61801368), the China Postdoctoral Science Foundation (2018M640990), and the Fundamental Research Funds for the Central Universities (xjh012019041). He is a member of the IEEE Signal Processing Society.

Speech Title: Array Signal Processing in Krylov Subspaces
Abstract:
Krylov subspace algorithms are widely used in many fields including matrix computations, inverse problems, and signal processing. They are particularly useful for large-scale problems. In this speech we are going to talk some applications of the Krylov subspace methods in array signal processing. First, we introduce the concept of Krylov subspace and compare it with the eigen-subspace. Then we study the applications of the Krylov subspace methods in the areas of super-resolution DOA estimation, robust adaptive beamforming, and fast detection of the number of signals. In these examples we shall show that the Krylov subspaces are more flexible than the eigen-subspaces. In addition, the projection onto some appropriate Krylov subspace provides robustness against the array model errors. Furthermore, the Krylov subspaces can be constructed simply and efficiently. Finally, we discuss one future work of the Krylov subspace methods in array signal processing.




Assoc. Prof. Hao Ding
Naval Aviation University, China

Dr. Ding was born in 1988. He received his Master and PhD degree of Signal and Information Processing in 2012 and 2016, at Naval Aviation University (NAU). He serves as the key member of marine target detection research group, which belongs to the information fusion research group in NAU. His research interest includes radar sea clutter property cognition, suppression and target detection techniques. He has published more than 30 academic articles, held about 10 national invention patents and three software copyrights. He has proposed new models for sea clutter statistical distribution as well as spatial correlation, and put forward new features to isolate sea clutter and target signal, which can improve target detection performance in spiky sea clutter. His main research achievements won the first prize of scientific and technological progress award in 2018. He has attended the European microwave week international conference, IEEE radar conference, etc., and given academic reports. He is the reviewer for IEEE TSP, SPL, IEEE TGRS, IEEE GRSL, IET RSN, IET SP, IET EL, DSP, Journal of radars, and many international conferences.

Speech Title: Radar Sea Clutter Property and Target Detection
Abstract: Detection of low-observable target in sea clutter is an important issue for both civilian and military applications, which is one of the key problems in the field of modern radars. Targets covered by sea clutter with low observability are main threats to future sea defense system and detection of these targets gives a severe challenge to radar survivability. Moreover, the detection process is difficult due to the weak radar returns and complex sea environment.
In this speech, we mainly focus on the issue of radar sea clutter property and target detection problems, which are based on the research and experiments over the past ten years. Analyzing and modeling of sea clutter is a problem of fundamental interest to the radar community. It is important for successful design, development or operation of radars operating in maritime environments. Researches results on sea clutter amplitude statistics, Doppler spectral, correlation properties and non-linear properties will be presented. Then, we will give an introduction of main detection techniques, including energy based methods and feature based methods. Processing results with measured sea clutter data will also be presented.