Radar High-Speed Target Detection via Coherent Integration Transform

Radar High-Speed Target Detection via Coherent Integration Transform offers a systematic presentation of high-speed radar target detection methods using coherent integration transforms including the signal model, derivations of coherent integration transforms, and definitions of related key concepts.

The authors present mathematical models and design principles necessary to analyze the behavior of each type of coherent integration transform, and based on this, they introduce and convey new approaches and techniques for designing such transforms, which will help to achieve efficient signal integrators and detectors, especially in the challenging low signal-to-noise ratio (SNR) environments.

The book will be of interest to graduate students and engineering professionals in statistical signal processing, signal detection and estimation, and radar signal processing.

Xiaolong Li is an associate professor at the School of Information and Communication Engineering, University of Electronic Science and Technology of China. His research interests include radar moving target detection and MIMO radar signal processing, with an emphasis on high-speed maneuvering target detection.

Guolong Cui is a professor at the School of Information and Communication Engineering, University of Electronic Science and Technology of China. His research interests include cognitive radar, array signal processing, MIMO radar, and through-the-wall radar.

Lingjiang Kong is a professor at the University of Electronic Science and Technology of China. His research interests focus on signal processing for radar. He has authored and co-authored more than 150 publications in international journals, conferences, and books.

Zhi Sun is an associate researcher at the School of Information and Communication Engineering, University of Electronic Science and Technology of China. His research interests include weak target detection, time-frequency analysis, and clutter suppression.