A radar array has an antenna base that remains stationary. The array is made up of a grid of fixed antenna elements, and each can be programmed to individually transmit and receive a signal. As a result, the radar beam(s) can be steered electronically, giving users the ability to control how, when and where the radar scans. Optimizing this process is a complex mathematical process of great interest to radar systems designers and operators. This book is concerned with radar array design exploiting tools from modern optimization theory. Each chapter is written by renowned researchers in radar array design/optimization theory. The book shows the potential benefits in radar beampattern achievable using modern optimization theory.
Guolong Cui is a professor at the University of Electronic Science and Technology of China (UESTC), Chengdu, China. Between June 2012 to August 2013, he was a post-doctoral researcher with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA. His research interests include cognitive radar, array signal processing, MIMO radar, and through-the-wall radar. He is a senior member of the IEEE.
Junli Liang is currently a professor at the School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China. He received the PhD degree in signal and information processing from the Chinese Academy of Sciences, Beijing, China, in 2007. His research interests include radar signal processing, machine learning, 6G, and its applications. He is a senior member of the IEEE.
Bin Liao is currently a full professor at the College of Electronics and Information Engineering, Shenzhen University China. He received his PhD degree from The University of Hong Kong in 2013. He was previously a research assistant at The University of Hong Kong. Dr Liao is an associate editor of IEEE Transactions on Aerospace and Electronic Systems, IET Signal Processing, and Multidimensional Systems and Signal Processing.
Xiangrong Wang is currently a professor at the School of Electronic and Information Engineering, Beihang University, Beijing, China. Her research interests include array signal processing, radar signal processing, integrated sensing and communications. She has published two books and two invited book chapters. She is an associate editor of IEEE Transactions on Radar Systems and Elsevier's Digital Signal Processing journal. She is the winner of 2023 IEEE TAES Barry Carlton Award.
Lingjiang Kong is currently a professor at the School of Information and Communication Engineering, University of Electronic Science and Technology of China. He is a senior member of the IEEE. From September 2009 to March 2010, he was a visiting researcher at the University of Florida, Gainesville, FL, USA. His research interests include MIMO radar, through-the-wall radar, and statistical signal processing.
