Radar is an established but also growing field. The global radar market size was valued at 32.56 billion in 2019, and is projected to reach 49.43 billion by 2027, to register a CAGR of 3.80 from 2020 to 2027 (Allied Market Research). Next generation communications and radar systems will need to service a rapid increase in connected devices and users. Both systems need wide bandwidth to provide a designated quality-of-service thus resulting in competing interests in exploiting the spectrum. Whereas high-resolution detection of radar targets requires large transmit signal bandwidths, modern communications systems need wider spectrum to support more users and high data rates. The resulting dire challenges in utilizing the frequency spectrum, which is a scarce natural resource, has led researchers to seek novel solutions in designing both systems to jointly access the spectrum without interfering in each others operations and performance. Initially confined to military applications at S-band, spectrum sharing now encompasses all major sensing and communications frequencies. Indeed, the spectral crowding is defining a new age of synergistic design of communications and radar systems that share common spectral and hardware resources. These joint radar-communications (JRC) systems have advantages of low-cost, compact size, less power consumption, spectrum sharing, improved performance, and safety due to enhanced information sharing. The SP techniques are critical in implementation of JRC systems. Major challenges are joint waveform design, receive processing, deployment of novel multiple-input-multiple-output (MIMO) arrays, and performance criteria that would optimally trade-off between communications and radar functionalities. There are opportunities to exploit recent advances in optimization, cognition, compressed sensing, game theory, and machine learning to reduce required resources and dynamically allocate them with low overheads. These advances in JRC SP have begun impacting various applied fields, where computational efficiency and the ability to deal with large systems and uncertainties is of paramount importance. The engineering community has benefited from these recent advances by pursuing applications of this rapidly growing field, such as autonomous driving, drone-based customer services, Internet-of-Things, radio-frequency identification, military surveillance, and next-generation wireless communications. The JRC has also fueled the mathematical development of both SP theory and efficient algorithms. In the next 5 years, the above-mentioned problem-specific challenges are going to be the primary drivers of this rapidly growing field. Newly developed JRC tools introduce powerful theories that often lead to further insight into the optimal solution of various radar and communication problems such as interference management, joint waveforms, resource allocation, and learning-based processing, that did not arise when analyzed as stand-alone designs. There remain many open JRC problems toward attaining seamless interference free operation, attaining full cognitive abilities, and efficient use of limited resources. At the same time, current advances in JRC are a precursor to emerging frontiers of employing Terahertz frequencies and intelligent surfaces for JRC. In this context, this book is extremely topical and useful for SP researchers working on cutting-edge problems.-- A one-stop, comprehensive source for the latest research in joint radar-communications In Signal Processing for Joint Radar-Communications, a trio of eminent electrical engineers delivers a practical and informative contribution to the diffusion of newly developed joint radar-communications (JRC) tools into the radar and communications communities and to illustrate recent successes in applying modern signal processing theories to core problems in JRC. The book offers new results on algorithmic methods and applications of JRC in diverse areas, including autonomous vehicles, waveform design, information theory, privacy, security, beamforming, estimation theory, and sampling. The distinguished editors bring together contributions from leading JRC researchers working in radar systems, remote sensing, electromagnetics, optimization, and signal processing. The included resources provide an in-depth mathematical treatment of relevant signal processing tools and computational methods allowing readers to take full advantage of JRC systems. Readers will also find: ? Thorough introductions to joint radar-communications theory and applications, joint precoding and beamforming, and communications-based JRC ? Comprehensive explorations of JRC processing via matrix completion, interference mitigation techniques, and jamming and clutter in JRC ? Practical discussions of information-theoretic aspects of JRC, optimization aspects of JRC, and JRC resource allocation ? In-depth examinations of cognition and JRC, automotive JRC, and dual-function radar communications Perfect for researchers and professionals in the fields of radar, signal processing, communications, and electronic warfare, Signal Processing for Joint Radar-Communications will also earn a place in the libraries of engineers working in the defense, aerospace, and automotive industries.
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