Rym Hicheri

• Avazov, Nurilla; Hicheri, Rym & Pätzold, Matthias Uwe (2022). Micro-Doppler Characteristics of mmWave Indoor Backscattering Channels for RF Sensing, 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE conference proceedings. ISSN 978-1-6654-6975-3. s. 357–362. doi: 10.1109/WiMob55322.2022.9941610. Vis sammendrag

  In indoor environments, backscattering components play a key role in radio-frequency (RF) sensing, especially with the blockage of line-of-sight components by the furniture. Thus, it is paramount to investigate the Doppler characteristics of backscattering millimeter wave (mmWave) channels in the presence of moving objects. In this regard, this paper presents a trajectory-driven non-stationary channel model for a mmWave single-input single-output communication system. This backscattering channel model takes into account the impact of a single moving object on the indoor radio wave propagation phenomena. First, the expression of the complex channel gain is presented. Then, the time-variant (TV) micro-Doppler signatures of the moving object are studied. The validity of the proposed channel model is confirmed by real-world measured RF data, which were collected in a laboratory room using a software defined radar system operating at 24 GHz. For fair comparison, we consider as a moving object a swinging pendulum for which the exact TV trajectory is known. In addition, inertial measurement unit sensors are attached to the pendulum to track its TV trajectory. A good agreement can be seen between the Doppler characteristics of the backscattering channel model and those computed from the measured RF data. This demonstrates that backscattering components can be employed to accurately extract the microDoppler signatures of a moving object in indoor spaces. The exhibited results can serve as a basis for the development of future robust backscattering-based RF sensing.

• Hajri, Nazih; Pätzold, Matthias Uwe; Hicheri, Rym & Youssef, Neji (2021). Performance Analysis of M-DPSK Modulation over Fast-Hoyt Fading Channels under Non-Isotropic Scattering Conditions, 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE conference proceedings. ISSN 978-1-7281-7586-7. doi: 10.1109/PIMRC50174.2021.9569327.
• Hicheri, Rym; Avazov, Nurilla; Muaaz, Muhammad & Pätzold, Matthias Uwe (2021). The Transfer Function of Non-Stationary Indoor Channels and its Relationship to System Functions of LFMCW Radars, 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE conference proceedings. ISSN 978-1-6654-2851-4. doi: 10.1109/SPAWC51858.2021.9593156.
• Avazov, Nurilla; Hicheri, Rym & Pätzold, Matthias Uwe (2021). A Trajectory-Driven SISO mm-Wave Channel Model for a Human Activity Recognition, 2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE conference proceedings. ISSN 978-1-6654-2854-5. doi: 10.1109/WiMob52687.2021.9606320.
• Hicheri, Rym; Muaaz, Muhammad; Avazov, Nurilla & Pätzold, Matthias Uwe (2021). On the Estimation of the Radial Distance of a Moving Person in Indoor Environments from the Demodulated Response of LFMCW Radars, 2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE conference proceedings. ISSN 978-1-6654-2854-5. doi: 10.1109/WiMob52687.2021.9606432.
• Avazov, Nurilla; Hicheri, Rym; Muaaz, Muhammad; Sanfilippo, Filippo & Pätzold, Matthias Uwe (2021). A Trajectory-Driven 3D Non-Stationary mm-Wave MIMO Channel Model for a Single Moving Point Scatterer. IEEE Access. ISSN 2169-3536. 9, s. 115990–116001. doi: 10.1109/ACCESS.2021.3105296. Fulltekst i vitenarkiv
• Hicheri, Rym; Abdelgawwad, Ahmed & Pätzold, Matthias Uwe (2021). A new non-stationary 3D channel model with time-variant path gains for indoor human activity recognition, Innovative and Intelligent Technology-Based Services for Smart Environments – Smart Sensing and Artificial Intelligence. CRC Press. ISSN 9781003181545. s. 68–74.
• Hicheri, Rym & Pätzold, Matthias Uwe (2021). An RF-Based Positioning Method for Tracing a Cluster of Moving Scatterers in Non-Stationary Indoor Environments. IEEE Wireless Communications Letters. ISSN 2162-2337. 10(9). doi: 10.1109/LWC.2021.3084242. Fulltekst i vitenarkiv
• Hicheri, Rym; Abdelgawwad, Ahmed & Pätzold, Matthias Uwe (2021). A non-stationary relay-based 3D MIMO channel model with time-variant path gains for human activity recognition in indoor environments. Annales des télécommunications. ISSN 0003-4347. 76, s. 827–837. doi: 10.1007/s12243-021-00844-0. Fulltekst i vitenarkiv
• Avazov, Nurilla; Hicheri, Rym & Pätzold, Matthias Uwe (2021). A Trajectory-Driven SIMO mm-Wave Channel Model for a Moving Point Scatterer, 2021 15th European Conference on Antennas and Propagation (EuCAP). IEEE conference proceedings. ISSN 978-88-31299-02-2. doi: 10.23919/EuCAP51087.2021.9411210. Fulltekst i vitenarkiv
• Hicheri, Rym; Pätzold, Matthias Uwe & Youssef, Neji (2020). Estimation of the Time-Variant Velocity of a Single Walking Person in Two-Dimensional Non-Stationary Indoor Environments Using Radio-Frequency Techniques. IEEE Access. ISSN 2169-3536. 8, s. 169759–169774. doi: 10.1109/ACCESS.2020.3023815. Fulltekst i vitenarkiv
• Hicheri, Rym & Pätzold, Matthias Uwe (2019). A New Iterative Procedure for the Localization of a Moving Object/Person in Indoor Areas from Received RF Signals, 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE conference proceedings. ISSN 978-1-7281-3316-4. doi: 10.1109/WiMOB.2019.8923428. Fulltekst i vitenarkiv
• Hicheri, Rym & Pätzold, Matthias Uwe (2019). A New Iterative Estimation Procedure for the Localization of Passive Stationary Objects from Received RF Signals in Indoor Environments, 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall). IEEE conference proceedings. ISSN 978-1-7281-1220-6. doi: 10.1109/VTCFall.2019.8891440. Fulltekst i vitenarkiv
• Hicheri, Rym & Pätzold, Matthias Uwe (2019). Estimation of the Velocity of Multiple Moving Persons in Non-Stationary Indoor Environments from Received RF Signals. IEEE Vehicular Technology Conference (VTC). ISSN 1090-3038. 2019-April. doi: 10.1109/VTCSpring.2019.8746693. Fulltekst i vitenarkiv
• Hicheri, Rym; Pätzold, Matthias Uwe & Youssef, Neji (2018). Estimation of the Velocity of a Walking Person in Non-Stationary Indoor Environments from the Received RF Signal, LATINCOM 2018. IEEE Sarnoff Symposium. ISSN 978-1-5386-6754-5. doi: %2010.1109/LATINCOM.2018.8613224. Fulltekst i vitenarkiv
• Hicheri, Rym; Pätzold, Matthias Uwe & Youssef, Neji (2018). Estimation of the Velocity of a Walking Person in Indoor Environments from mmWave Signals, GLOBECOM 2018. IEEE Sarnoff Symposium. ISSN 978-1-5386-4920-6. doi: 10.1109/GLOCOMW.2018.8644308. Fulltekst i vitenarkiv Vis sammendrag

  The present work is motivated by the growing interest in using millimeter-wave (mmWave) bands in future wireless indoor communications. For a variety of wireless indoor applications, such as remote medical care, healthcare services, and human-machine interaction, it is of crucial importance to estimate the velocity of walking persons in indoor environments with high precision. In this paper, we present a novel procedure for estimating the velocity of a walking person in indoor environments by using mmWave signals. The indoor environment is considered to be equipped with a distributed 2x2 multiple-input multiple-output (MIMO) system operating in the 60 GHz band. The proposed approach requires first to estimate the time-variant Doppler frequencies by fitting the spectrogram of the complex channel gain of a non-stationary indoor channel model to the spectrogram obtained from the received mmWave signals. The velocity of the moving person is then deduced from estimated time-varying Doppler frequencies. Numerical results, comparing the estimated Doppler frequencies and velocity with corresponding exact values, known from generated mmWave signals, are provided to demonstrate the validity of the proposed velocity estimation algorithm.

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• Hicheri, Rym; Abdelgawwad, Ahmed & Pätzold, Matthias Uwe (2020). A new non-stationary cluster-based 3D channel model for indoor human activity recognition.
• Hicheri, Rym & Pätzold, Matthias Uwe (2019). Estimation of the velocity of multiple moving persons in non-stationary indoor environments from the received RF signal.
• Hicheri, Rym & Pätzold, Matthias Uwe (2019). A new iterative estimation procedure for the localization of passive stationary objects from received RF signals in indoor environments.
• Hicheri, Rym; Pätzold, Matthias Uwe & Youssef, Neji (2018). Estimation of the velocity of a walking person in non-stationary indoor environments from the received RF signal.
• Hicheri, Rym; Pätzold, Matthias Uwe & Youssef, Neji (2018). Estimation of the Velocity of a Walking Person in Indoor Environments from mmWave Signals.
• Hicheri, Rym (2018). Estimation of the Velocity of a Moving Person in Indoor Environments.

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