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Author

Mehrdad Nosrati

Other affiliations: Facebook
Bio: Mehrdad Nosrati is an academic researcher from Stevens Institute of Technology. The author has contributed to research in topics: Dipole antenna & Antenna measurement. The author has an hindex of 8, co-authored 20 publications receiving 252 citations. Previous affiliations of Mehrdad Nosrati include Facebook.

Papers
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Journal ArticleDOI
TL;DR: In this paper, a single-fed, wideband, circularly polarized slot antenna is proposed and fabricated, which is obtained by introducing an antipodal Y-strip to a square slot antenna.
Abstract: A novel single-fed, wideband, circularly polarized slot antenna is proposed and fabricated. Wideband circular polarization is obtained by introducing an antipodal Y-strip to a square slot antenna. The feedline is a U-shaped microstrip line that provides a wide impedance bandwidth. The overall size of the antenna is only 28 × 28 mm 2 (0.3 λ o × 0.3 λ o ). A prototype of the antenna is fabricated and tested. The measured bandwidths for the axial ratio (AR <; 3 dB) and relative impedance (|S 11 | <; -10 dB) are 41.3% (from 4.4 to 6.67 GHz) and 84% (from 3.25 to 8 GHz), respectively, and the antenna has a stable radiation pattern and a gain of greater than 3 dBi over the entire circular polarization frequency band.

92 citations

Journal ArticleDOI
TL;DR: The proposed novel noncontact heart-beat signal modeling and estimation algorithm using a compact 2.4-GHz Doppler radar is accurate, robust, and simple, and demonstrates an average heart- Beat detection accuracy of more than 90% at a distance of 1.5 m away from the subjects.
Abstract: This paper presents the theoretical and experimental study of a novel noncontact heart-beat signal modeling and estimation algorithm using a compact 2.4-GHz Doppler radar. The proposed technique is able to accurately reconstruct the heart-beat signal and generates heart rate variability indices at a distance of 1.5 m away from the human body. The feasibility of the proposed approach is validated by obtaining data from eight human subjects and comparing them with photoplethysmography (PPG) measurements. A Gaussian pulse train model is suggested for the heart-beat signal along with a modified-and-combined autocorrelation and frequency-time phase regression technique for high-accuracy detection of the human heart-beat rate. The proposed method is accurate, robust, and simple, and demonstrates an average heart-beat detection accuracy of more than 90% at a distance of 1.5 m away from the subjects. In addition, the average beat-to-beat time intervals extracted from the proposed model and signal reconstruction method show less than 2% error compared to PPG measurements. Bland–Altman analysis further validated the accuracy of the proposed approach in comparison with reference data.

87 citations

Journal ArticleDOI
TL;DR: The theoretical and experimental results of a new approach for multitarget vital-signs monitoring using an electromagnetic-based Doppler radar that prevents the phase collision of the signatures of the targets and hence provides multiperson detection capability to the system are presented.
Abstract: This paper presents the theoretical and experimental results of a new approach for multitarget vital-signs monitoring using an electromagnetic-based Doppler radar. A phased-array radar is designed and implemented using a hybrid beamforming architecture to generate two simultaneous beams. The proposed system significantly mitigates the phase collision problem in the presence of multiple targets. Comprehensive discussions on the theory of multibeam systems alongside detailed simulations are provided. For the purpose of demonstration, a prototype dual-beam phased-array continuous-wave Doppler radar has been designed and implemented at 2.4 GHz. The system is fully characterized, and the measurement results confirm the feasibility of the proposed method. The experimental measurements show that for the first time, the breathing rates of two individuals can be monitored at the same time and using the same frequency. Several practical aspects of the system are examined, and a pilot study on the subject tracking is presented. The proposed dual-beam system prevents the phase collision of the signatures of the targets and hence provides multiperson detection capability to the system.

86 citations

Journal ArticleDOI
TL;DR: In this article, a broadband dipole blade antenna for airborne unmanned aerial vehicle (UAV) applications is presented, which uses two perpendicular slots and two vertical tails to increase the excited surface current path and consequently increase the radiation efficiency of the antenna at lower frequencies.
Abstract: This paper presents a novel broadband dipole blade antenna for airborne unmanned aerial vehicle applications. Wideband performance and stable radiation pattern are achieved by the use of two perpendicular slots and two vertical tails. The vertical tails increase the excited surface current path and consequently increase the radiation efficiency of the antenna at lower frequencies. The feed line utilizes a matching circuit to achieve a wide impedance bandwidth, particularly at lower frequencies. The overall size of the antenna is $71\,\,\text {cm} \times 25\,\,\text {cm} \times 5$ cm. A prototype of the proposed antenna has been fabricated and tested. Measurements agree well with simulation results. Based on measurement results, the antenna impedance bandwidth for VSWR < 2.5 is 193.5% from 20 to 1200 MHz.

38 citations

Journal ArticleDOI
01 Mar 2019
TL;DR: A new method to significantly increase the detection accuracy of the human heartbeat rate using a continuous-wave Doppler radar using the fact that the displacement signal is a complex Gaussian function rather than a pure sine wave is presented.
Abstract: This paper presents the theory and experimental results of a new method to significantly increase the detection accuracy of the human heartbeat rate using a continuous-wave Doppler radar. Traditionally, it is assumed that the chest wall displacement signal, which is recorded by the radar and used for heartbeat rate estimation, is a pure sine wave. In this paper, we use the fact that the displacement signal is a complex Gaussian function rather than a pure sine wave. This function shows a declining amplitude versus frequency; therefore, the heartbeat signal will be much weaker than the respiration signal and can be easily buried in the respiration's harmonics. However, by exploiting the chest wall acceleration instead of its displacement, the heartbeat signal is greatly amplified, leading to a significantly higher heartbeat rate detection accuracy. Recorded data from 12 healthy human subjects show an average heartbeat rate detection accuracy of more than 95% when compared with reference electrocardiogram recordings. The proposed technique is robust, simple, and requires minimum calculation resources which are important for online monitoring and power consumption reduction. Measurement results indicate its potential for being used in reliable non-contact heartbeat rate monitoring systems.

26 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the authors explain how the first chapter of the massive MIMO research saga has come to an end, while the story has just begun, and outline five new massive antenna array related research directions.

556 citations

30 May 2016
TL;DR: Ganong's review of medical physiology, Ganong's Review of Medical physiology , کتابخانه دیجیتال جندی اهواز is published.
Abstract: Ganong's review of medical physiology , Ganong's review of medical physiology , کتابخانه دیجیتال جندی شاپور اهواز

384 citations

Posted Content
TL;DR: In this paper, the authors explain how the first chapter of the massive MIMO research saga has come to an end, while the story has just begun, and outline five new massive antenna array related research directions.
Abstract: Massive MIMO (multiple-input multiple-output) is no longer a "wild" or "promising" concept for future cellular networks - in 2018 it became a reality. Base stations (BSs) with 64 fully digital transceiver chains were commercially deployed in several countries, the key ingredients of Massive MIMO have made it into the 5G standard, the signal processing methods required to achieve unprecedented spectral efficiency have been developed, and the limitation due to pilot contamination has been resolved. Even the development of fully digital Massive MIMO arrays for mmWave frequencies - once viewed prohibitively complicated and costly - is well underway. In a few years, Massive MIMO with fully digital transceivers will be a mainstream feature at both sub-6 GHz and mmWave frequencies. In this paper, we explain how the first chapter of the Massive MIMO research saga has come to an end, while the story has just begun. The coming wide-scale deployment of BSs with massive antenna arrays opens the door to a brand new world where spatial processing capabilities are omnipresent. In addition to mobile broadband services, the antennas can be used for other communication applications, such as low-power machine-type or ultra-reliable communications, as well as non-communication applications such as radar, sensing and positioning. We outline five new Massive MIMO related research directions: Extremely large aperture arrays, Holographic Massive MIMO, Six-dimensional positioning, Large-scale MIMO radar, and Intelligent Massive MIMO.

186 citations

Journal ArticleDOI
TL;DR: A novel algorithm for the estimation of heart rate variability (HRV) features using 24-GHz continuous-wave Doppler radar with quadrature architecture that shows a high level of agreement between radar-extraction and ECG-extracted HRV features and is suitable for real-time monitoring.
Abstract: This paper presents a novel algorithm for the estimation of heart rate variability (HRV) features using 24-GHz continuous-wave Doppler radar with quadrature architecture. The proposed algorithm combines frequency and time domain analysis for high-accuracy estimation of beat-to-beat intervals (BBIs). Initially, band pass filtered in-phase (I) and quadrature (Q) radar components are fused into a single combined signal that contains information on the heartbeats. Its frequency domain analysis is used for coarse heart rate estimation. At the same time, the combined signal is processed using a filter bank containing narrowband band pass filters with different center frequencies. One of the band pass filter outputs is selected as the valid output based on the coarse heart rate estimation. Zero crossings in the resulting filter bank output signal represent heartbeats that are used to extract the BBIs. Finally, four HRV features are calculated from the BBIs. The algorithm is tested on real data obtained from recordings on ten human subjects. The mean relative error of extracted BBIs compared to electrocardiogram (ECG) measurement is in the 1.02–2.07% range. Furthermore, two time-domain and two frequency domain HRV features were calculated from the BBIs. The obtained results show a high level of agreement between radar-extracted and ECG-extracted HRV features. Low computation complexity makes this algorithm suitable for real-time monitoring.

88 citations

Journal ArticleDOI
TL;DR: The theoretical and experimental results of a new approach for multitarget vital-signs monitoring using an electromagnetic-based Doppler radar that prevents the phase collision of the signatures of the targets and hence provides multiperson detection capability to the system are presented.
Abstract: This paper presents the theoretical and experimental results of a new approach for multitarget vital-signs monitoring using an electromagnetic-based Doppler radar. A phased-array radar is designed and implemented using a hybrid beamforming architecture to generate two simultaneous beams. The proposed system significantly mitigates the phase collision problem in the presence of multiple targets. Comprehensive discussions on the theory of multibeam systems alongside detailed simulations are provided. For the purpose of demonstration, a prototype dual-beam phased-array continuous-wave Doppler radar has been designed and implemented at 2.4 GHz. The system is fully characterized, and the measurement results confirm the feasibility of the proposed method. The experimental measurements show that for the first time, the breathing rates of two individuals can be monitored at the same time and using the same frequency. Several practical aspects of the system are examined, and a pilot study on the subject tracking is presented. The proposed dual-beam system prevents the phase collision of the signatures of the targets and hence provides multiperson detection capability to the system.

86 citations