The Internet of Things (IoT) are interconnected devices for exchanging information through sensors and actuators. One of the main physical sensors to understand the environment beyond the visible world is a radar. Basically, radars have always been a military tool to be used to investigate the environment. However, with the developing technology, radars have become more compact and affordable to use in a building, in a car, in a drone or even in a wristwatch. In the near future, radar-equipped IoT platforms will start to appear increasingly. For each IoT platform, dual use of spectrum with dual aperture is required for sensing and communicating when using conventional approaches. For the radar sensing IoT devices, the emission from the radar and communication circuitry is the main reason of the increase in energy consumption. Furthermore, an increasing number of radars emerges as congested spectrum, and RF convergence between radars and communication systems becomes more likely to present itself. Recent years, there have been numerous researches which propose using the one emission/waveform for perceiving the environment and sending information. They are often called as "Joint Radar-Communication (JRC)" systems. Due to the latest developments in JRC system designs, radar sensing IoT platforms now can be transformed into an "Internet of RAdio Detectors And Rangers (IoR)". In this article, we present a short survey on JRC technologies, possible application areas IoR applications and challenges and future research directions for enabling the concept of IoR.Ozgur B. Akan [M00, SM07, F16] received his Ph.D. degree in electrical and computer engineering from the Broadband and
The increasing interest on spectrum resources causes various efforts on developing smart and compact solutions as joint radarcommunication (JRC) systems. A JRC system can offer cost-effective solution with concurrent operation, as target sensing via radar processing and establishing communication links. JRC capability has been proposed over the years for different types of MIMO radars. However, a JRC capable monostatic coherent MIMO radar system is yet to be developed. These radars offer several advantages as fully coherent signal processing and coherent transmit beamforming which provides beampatterns to minimize probability of intercept. In this paper, two new waveform generation techniques suitable for JRC operation without disturbing transmit beamforming requirements and waveform orthogonality condition in space and time domain are proposed for monostatic coherent MIMO radars. Then, new communication methods are introduced for phase coded monostatic coherent MIMO radars. First method uses chirp-wise information encoding inside the radar pulse as intra-pulse communications. Second rotates the phase of a specific waveform on radiated symbols to a specific direction and the last method applies a small amount of progressive phase shift to the radar waveforms emitted from the antennas to create relative phase modulation between selected radar waveforms. Then, the performance of the proposed communication techniques are investigated in terms of bit error rate (BER) and generated waveforms are examined according to the orthogonality and transmit beamforming requirements.
A joint radar-communication (JRC) system can provide cost-effective and spectrum-efficient platform solution with simultaneous operation, while accomplishing important tasks, sensing via radar processing and allocation of communication links. Existing modulation techniques where information embedding is achieved using sidelobe Amplitude-Shift Keying (ASK) for the JRC system are not investigated so far under fading channels and an optimum threshold estimation algorithm is yet to be developed. Specifying an optimum threshold level under fading can become a comprehensive problem, especially for mobile communication systems. In this paper, a novel non-data aided (NDA) threshold estimation technique and a receiver design are introduced. Furthermore, a new sidelobe ASK modulation technique is proposed for utilizing JRC system for mobile platforms under fading. Proposed modulation technique implements dual Sidelobe Level (SLL) ASK with waveform diversity by exploiting multiple orthogonal waveforms. One pair is modulated with dual SLL in amplitude rotational manner and initiates NDA threshold estimation process at the receiver. This method utilizes K bits of information using only K +1 orthogonal waveform. The performance of the proposed technique is investigated in terms of the bit error rate (BER) and data rate. Simulations reveal that the operation of proposed method coupled with NDA threshold estimation process can reach more data rate, since it exhibits almost the same BER performance as existing methods under fading channel without requiring more orthogonal waveform.
Current Electronic CounterMeasure (ECM) systems process preprogrammed jamming techniques against radar threats that are captured and identified by Electronic Support Measures (ESM) systems. On the other side, with recent technologies, radar systems become adaptive and intelligent systems that can change their waveforms. Nevertheless, ongoing studies in the radar domain have enabled cognition. However, an ECM architecture is yet to be developed for automatically generating effective countermeasures against new, unknown and next-generation radars. To address this need, enabling a cognitive control mechanism in the ECM system is a suitable solution. In this paper, we present an architecture for Cognitive Electronic CounterMeasure (CECM) system. This CECM system assesses the most effective ECM technique against new, unknown and adaptive or cognitive radars. Simulations reveal that CECM system provides accurate mapping performance while providing satisfying generalization for unknown emitters.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.