Multifunction RF Systems for Naval Platforms

Moo, Peter W.; DiFilippo, D.

doi:10.3390/s18072076

Cited by 26 publications

(6 citation statements)

References 31 publications

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“…Similarly, authors in [220] used the same concept for 5G communication systems and [221] for two channel selectable down converter for interference mitigation in radar operations, respectively. Recent developments for unified hardwarebased radar and communication multibeam are studied in [220][221][222][223][224][225][226][227][228]. Entire spectrum is divided into portions called subbeam, and one portion is utilized by communication receiver all the time while the remaining portion is used for different radar operations as shown in Figure 23.…”

Section: Beampattern Modulationmentioning

confidence: 99%

A Comprehensive Study of Past, Present, and Future of Spectrum Sharing and Information Embedding Techniques in Joint Wireless Communication and Radar Systems

Munir

Basit

Khan

et al. 2022

Wireless Communications and Mobile Computing

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Wireless spectrum is a limited resource, and the rapid increase in demand for wireless communication-based services is increasing day by day. Hence, maintaining a good quality of service, high data rate, and reliability is the need of the day. Thus, we need to apportion the available spectrum in an efficient manner. Dual-Function Radar and Communication (DFRC) is an emerging field and bears vital importance for both civil and military applications for the last few years. Since hybridization of wireless communication and radar designs provoke diverse challenges, e.g., interference mitigation, secure mobile communication, improved bit error rate (BER), and data rate enhancement without compromising the radar performance, this paper reviews the state-of-the-art developments in the spectrum shared between mobile communication and radars in terms of coexistence, collaboration, cognition, and cooperation. Compared to the existing surveys, we explore an open research issue on radar and mobile communication operating with mutual benefits based on collaboration in terms of spectrum sharing. Additionally, this paper provides important perspectives for future research of DFRC technology.

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Section: Beampattern Modulationmentioning

confidence: 99%

A Comprehensive Study of Past, Present, and Future of Spectrum Sharing and Information Embedding Techniques in Joint Wireless Communication and Radar Systems

Munir

Basit

Khan

et al. 2022

Wireless Communications and Mobile Computing

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show abstract

“…Emerging multi‐function shared‐aperture antenna technologies (e.g. [76]) would facilitate this with the capability of simultaneous transmit and receive.…”

Section: Spatial Detection Processing Gainmentioning

confidence: 99%

On the design of an optimal coherent multistatic radar network configuration

Berry

Dahal

Venkataraman

2022

IET Radar Sonar & Navi

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The purpose of operating a radar system multistatically is to acquire information about targets of interest more quickly and reliably than would be possible using disparate radars, which fuse data and track post‐detection. This paper identifies and addresses the critical issues for designing a coherent multistatic radar system using conventional coherent radars and proposes a set of design principles for configuring a coherent multistatic radar network with the aim of maximising the utility of information while constraining system cost and complexity. The issues discussed are as follows: the localisation of targets in three dimensions; eliminating the inevitable spatial ambiguities arising from sparse spatial sampling while exploiting the large aperture for high resolution; the achievement of spatial coherent processing gain for target detection; the effect of phase centre localisation, phase and frequency errors on synchronisation; the incorporation of three‐dimensional Doppler estimation for slow‐time coherent integration. The arguments presented are physically‐based and complemented by mathematical analysis and numerical experimentation using non‐linear sparse estimation, the sparse algorithm being critically important for resolving spatial ambiguities. An optimal configuration is identified, which has sufficiently many nodes to overcome spatial ambiguities and achieves significant spatial coherent processing gain, while simultaneously constraining the overheads of inter‐node synchronisation and communication.

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“…Multi-function radars (MFRs) [2], a relatively new development in radar systems, are capable of executing multiple radar functions simultaneously, such as surveillance, multiple target tracking, waveform generation, and electronic beam steering [3,4]. However, all radars, indeed systems, have limited resources; in the context of a radar, the key resources are time, energy, frequency, and computation.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence meets radar resource management: A comprehensive background and literature review

Hashmi

Akbar

Adve

et al. 2022

IET Radar Sonar & Navi

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A multi‐function radar is designed to perform disparate functions, such as surveillance, tracking, fire control, amongst others, within a limited resource (time, frequency, and energy) budget. A radar resource management (RRM) module within a radar system makes decisions on prioritisation, parameter selection, and scheduling of associated tasks. However, optimal RRM algorithms are generally computationally complex and operational radars resort to heuristics. On the other hand, algorithms based on artificial intelligence (AI) have been shown to yield near‐optimal radar resource allocation results at manageable computational complexity. This survey study aims at enabling researchers and practitioners better understand the application of AI in RRM‐related problems by providing a thorough literature review of AI‐based RRM techniques. We first provide background concepts in RRM followed by a brief review of Symbolic‐AI techniques for RRM. We mainly focus on the applications of state‐of‐the‐art machine learning techniques to RRM. We emphasise on the recent findings and their potential within practical RRM scenarios for real‐time resource allocation optimisation. The study concludes with a discussion of open research problems and future research directions in the light of the presented survey.

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Multifunction RF Systems for Naval Platforms

Cited by 26 publications

References 31 publications

A Comprehensive Study of Past, Present, and Future of Spectrum Sharing and Information Embedding Techniques in Joint Wireless Communication and Radar Systems

A Comprehensive Study of Past, Present, and Future of Spectrum Sharing and Information Embedding Techniques in Joint Wireless Communication and Radar Systems

On the design of an optimal coherent multistatic radar network configuration

Artificial intelligence meets radar resource management: A comprehensive background and literature review

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