Researcher:
Arık, Muharrem

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PhD Student

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Muharrem

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Arık

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Arık, Muharrem

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2015 - 20206

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    Utilizing sidelobe ASK based joint radar-communication system under fading
    (Institute of Electrical and Electronics Engineers (IEEE), 2017) N/A; Department of Electrical and Electronics Engineering; Arık, Muharrem; Akan, Özgür Barış; PhD Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 6647
    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.
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    Enabling cognition on Electronic CounterMeasure systems against next-generation radars
    (IEEE, 2015) Department of Electrical and Electronics Engineering; N/A; Akan, Özgür Barış; Arık, Muharrem; Faculty Member; PhD Student; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering; 6647; N/A
    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, on-going 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. © 2015 IEEE.
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    PublicationOpen Access
    Capacity analysis for joint radar-communication capable coherent MIMO radars
    (Elsevier, 2020) Department of Electrical and Electronics Engineering; Arık, Muharrem; Akan, Özgür Barış; PhD Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering
    Recently, huge attention is attracted to the concept of integrating communication and radar missions within the same platform. Joint Radar-Communications (JRC) system gives an important opportunity to reduce spectrum usage and product cost while doing concurrent operation, as target sensing via radar processing and establishing communication links. A JRC-capable coherent MIMO radar system have been proposed recently in the literature. Several methods are introduced to reach dual goal as a notable null level towards the direction of interest of the radar and MIMO radar waveform orthogonality. Due to the limitations originated form the JRC operation, communication channel may encounter unwanted amplitude variations. This unwanted modulation normally affects the communication performance by its nature, due to the fades on radiated signal amplitude towards the direction of communication. However, the effect of this unintentional modulation on communication channel is yet to be investigated. In this paper, the communication channel for JRC capable phase-coded coherent MIMO radars is analyzed and investigated under additive white Gaussian noise and Rayleigh/Rician fading conditions. Communication capacity is evaluated for each channel condition. The results reveal that, using the single-side limited null direction fixed waveform generation method displays the best capacity performance under all channel conditions.
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    PublicationOpen Access
    Enabling cognition on electronic countermeasure systems against next-generation radars
    (Institute of Electrical and Electronics Engineers (IEEE), 2015) Arık, Muharrem; Akan, Özgür Barış; PhD Student; Faculty Member; College of Engineering
    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, on-going 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.
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    PublicationOpen Access
    Internet of Radars: sensing versus sending with joint radar-communications
    (Institute of Electrical and Electronics Engineers (IEEE), 2020) Department of Electrical and Electronics Engineering; Akan, Özgür Barış; Arık, Muharrem; Faculty Member; PhD Student; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering
    The Internet of Things (IoT) is made up of 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 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. Emissions from the radar and communication circuitries are the main causes of the increase in energy consumption for any radar sensing IoT device. Furthermore, an increasing number of radars cause congested spectrum, and RF convergence between radar and communication systems becomes more likely to present itself. In recent years, numerous research works have proposed using the single waveform for perceiving the environment and sending information. They are often called "joint radar-communication' (JRC) systems. As a result of the latest advancements in JRC system designs, radar sensing IoT platforms now can be transformed into an "Internet of Radars" (IoR). This article is an attempt to introduce a prospective research direction in order to develop the architectures necessary to make the IoR concept possible. In this article, we present a short survey of JRC technologies likely to be used on radar-sensing- capable IoT devices. Then possible application areas, challenges to enable JRC, and future research perspectives are proposed.
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    PublicationOpen Access
    Realizing joint radar-communications in coherent MIMO radars
    (Elsevier, 2019) Department of Electrical and Electronics Engineering; Akan, Özgür Barış; Arık, Muharrem; Faculty Member; PhD Student; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering
    The increasing interest on spectrum resources causes various efforts on developing smart and compact solutions as joint radar-communication (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.