|Название: Signal Design for Modern Radar Systems
Автор: Mohammad Alaee-Kerahroodi, Mojtaba Soltanalian, Prabhu Babu, M. R. Bhavani Shankar
Издательство: Artech House
Формат: pdf (true)
Размер: 31.9 MB
This book gives you a comprehensive overview of key optimization tools that can be used to design radar waveforms and adaptive signal processing strategies under practical constraints -- strategies such as power method-like iterations, coordinate descent, and majorization-minimization – that help you to meet the more and more stressing sensing system requirements. The book walks you through how radar waveform synthesis is obtained as the solution to a constrained optimization problem such as finite energy, unimodularity (or being constant-modulus), and finite or discrete-phase (potentially binary) alphabet, which are dictated by the practical limitations of the real systems. Several approaches in each of these broad frameworks are detailed and various applications of these optimization techniques are described. Focusing on a holistic approach rather than a problem-specific approach, the book shows you what you need to effectively formulate waveform design and understand the flexibility of the framework for adapting to your own specific needs. You’ll have full access to the tools and knowledge you need to design waveform with optimized correlation/cross-correlation properties for SISO/SIMO and MIMO radars, taking into account spectral constraints for cognitive rads, as well as coexistence with communications and mitigate possible Doppler and quantization errors, and more.
The book also includes representative software codes that further help you generate the described solutions. With its unique style of covering mathematical results along with their applications from diverse areas, this is a much-needed, detailed handbook for industry researchers, scientists and designers including medical, marine, defense, and automotive companies. It is also an excellent resource for advanced courses on radar signal processing.
Waveform design for next-generation radar is also a topic of great interest due to the growing demands in increasing the number of antennas/sensors in different radar applications. As a focal example, the realization of the potential of multiple-input multiple-output (MIMO) radars, which employ several antennas at the radar station, has attracted a significant interest to waveform design and diversity. Currently, high-resolution MIMO radar sensors operating at 60, 79, and 140 GHz with sometimes finer than 10 cm range resolution are becoming integral in a variety of applications ranging from automotive safety and autonomous driving to infant and elderly health monitoring. Unlike a standard phased-array (PA) radar, a MIMO radar can transmit multiple probing signals that can be distinct. The resulting waveform and spatial diversity provide MIMO radar with superior capabilities in comparison to the traditional radar settings. Indeed, waveform diversity has made MIMO radars a low-cost alternative for adding more antenna elements, making them ideal for mass manufacturing. Particularly in the emerging scenario of self-driving automotive applications, with the goal of enhancing safety and comfort, high spatial resolution is achieved using the MIMO virtual arrays which is obtained by having sparse transmit/receive antenna arrays and maintaining orthogonality between the transmit waveforms.
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