The Experts below are selected from a list of 10767 Experts worldwide ranked by ideXlab platform
Thomas Zwick - One of the best experts on this subject based on the ideXlab platform.
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miniaturized millimeter wave Radar Sensor for high accuracy applications
IEEE Transactions on Microwave Theory and Techniques, 2017Co-Authors: Mario Pauli, Wolfgang Winkler, Serdal Ayhan, Steffen Scherr, Benjamin Göttel, Akanksha Bhutani, Thomas ZwickAbstract:A highly miniaturized and commercially available millimeter wave (mmw) Radar Sensor working in the frequency range between 121 and 127 GHz is presented in this paper. It can be used for distance measurements with an accuracy in the single-digit micrometer range. The Sensor is based on the frequency modulated continuous wave (CW) Radar principle; however, CW measurements are also possible due to its versatile design. An overview of the existing mmw Radar Sensors is given and the integrated Radar Sensor is shown in detail. The radio frequency part of the Radar, which is implemented in SiGe technology, is described followed by the packaging concept. The Radar circuitry on chip as well as the external antennas is completely integrated into an 8 mm $\times \,\, 8$ mm quad flat no leads package that is mounted on a low-cost baseband board. The packaging concept and the complete baseband hardware are explained in detail. A two-step approach is used for the Radar signal evaluation: a coarse determination of the target position by the evaluation of the beat frequency combined with an additional determination of the phase of the signal. This leads to an accuracy within a single-digit micrometer range. The measurement results prove that an accuracy of better than $\pm 6~\mu \text{m}$ can be achieved with the Sensor over a measurement distance of 35 mm.
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Miniaturized Millimeter-Wave Radar Sensor for High-Accuracy Applications
IEEE Transactions on Microwave Theory and Techniques, 2017Co-Authors: Mario Pauli, Wolfgang Winkler, Serdal Ayhan, Steffen Scherr, Benjamin Göttel, Akanksha Bhutani, Thomas ZwickAbstract:A highly miniaturized and commercially available millimeter wave (mmw) Radar Sensor working in the frequency range between 121 and 127 GHz is presented in this paper. It can be used for distance measurements with an accuracy in the singledigit micrometer range. The Sensor is based on the frequency modulated continuous wave (CW) Radar principle; however, CW measurements are also possible due to its versatile design. An overview of the existing mmw Radar Sensors is given and the integrated Radar Sensor is shown in detail. The radio frequency part of the Radar, which is implemented in SiGe technology, is described followed by the packaging concept. The Radar circuitry on chip as well as the external antennas is completely integrated into an 8 mm × 8 mm quad flat no leads package that is mounted on a low-cost baseband board. The packaging concept and the complete baseband hardware are explained in detail. A two-step approach is used for the Radar signal evaluation: a coarse determination of the target position by the evaluation of the beat frequency combined with an additional determination of the phase of the signal. This leads to an accuracy within a single-digit micrometer range. The measurement results prove that an accuracy of better than ±6 μm can be achieved with the Sensor over a measurement distance of 35 mm.
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Miniaturized 122 GHz system-in-package (SiP) short range Radar Sensor
2013 European Radar Conference, 2013Co-Authors: Mekdes Gebresilassie Girma, Wolfgang Winkler, Jürgen Hasch, Stefan Beer, Markus Gonser, Wojciech Debski, Thomas ZwickAbstract:In this paper, a compact (8×8 mm2 package size) short-range, bistatic Radar Sensor operating at 122 GHz is presented. The goal is to show the feasibility of a SiP solution in a low-cost Surface-Mounted-Device (SMD) package. The millimeter-wave integrated circuit is based on a SiGe-BiCMOS technology which offers an fT of 280 GHz and fmax of 300 GHz. The setup of the Radar Sensor is introduced and measurement results for frequency-modulated-continuous-wave (FMCW) modulation demonstrate the performance of the Radar front end. The targeted application areas are short range distance and speed measurements, which especially gain an advantage for high resolution distance measurements because of the short wavelength at mm-wave frequency. The chip occupies an area of 940 μm × 1450 μm, and dissipates a DC power of 450 mW.
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122 GHz Radar Sensor based on a monostatic SiGe-BiCMOS IC with an on-chip antenna
2012 7th European Microwave Integrated Circuit Conference, 2012Co-Authors: Mekdes Gebresilassie Girma, Jürgen Hasch, Ioannis Sarkas, Sorin P. Voinigescu, Thomas ZwickAbstract:In this paper, a short range monostatic Radar Sensor operating at 122 GHz is presented. The millimeter-wave frontend, including the on-chip antenna, is based on an integrated circuit realized in SiGe BiCMOS technology. The setup of the Radar Sensor is introduced and measurement results for FMCW modulation demonstrate the performance of the Radar frontend.
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A system simulation of a 77 GHz phased array Radar Sensor
2011 12th International Radar Symposium (IRS), 2011Co-Authors: Ali Eray Topak, Jürgen Hasch, Thomas ZwickAbstract:In this paper, a novel MATLAB-implemented millimeter-wave Radar system simulation tool is described, allowing simulations of a Radar Sensor including the electromagnetic propagation channel. A phased array module, implemented into this simulator, is introduced. A complete simulation is performed for a specific scenario employing a steerable antenna system to show its contribution to the overall performance of a 77 GHz FMCW Radar Sensor.
Changzhi Li - One of the best experts on this subject based on the ideXlab platform.
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A DC-Coupled High Dynamic Range Biomedical Radar Sensor With Fast-Settling Analog DC Offset Cancelation
IEEE Transactions on Instrumentation and Measurement, 2019Co-Authors: Dongyang Tang, Jing Wang, Weibo Hu, Zhengyu Peng, Yi-chyun Chiang, Changzhi LiAbstract:One challenge of designing a dc-coupled biomedical Radar Sensor is dealing with the dc offset voltage presented in its receiver. The undesired dc offset is mainly caused by clutter reflection and hardware imperfection. It may saturate the baseband amplifier and limit the maximum dynamic range that a biomedical Radar Sensor can achieve. AC-coupling the signal can eliminate dc offset but it will also distort the signal, and thus may not be acceptable for high precision applications. In this paper, a dc-coupled biomedical Radar Sensor is proposed incorporating an analog dc offset cancellation circuit with fast start-up feature. It can automatically remove any dc offset in the baseband signal and emulates an ac-coupling system. It can also be easily reconfigured into a dc-tracking mode when application requires. When entering this mode, the initial dc offset will be removed, whereas future dc change can be recorded. The proposed solution only uses analog components without requiring any digital signal processing nor software programming. Therefore, compared with the existing digitized dc offset calibration techniques, the proposed method has the advantage of low cost, easy implementation, short delay, and high resolution. The experiment results demonstrated that a wide range of dc offset can be successfully removed from the biomedical Radar Sensor, and its dynamic range can be maximized. The reconfiguration of the dc-tracking mode has also been tested and verified. Furthermore, the proposed dc offset cancellation circuit has the potential to be easily adopted by other systems that also face the dc offset problem.
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An FMCW Radar Sensor for human gesture recognition in the presence of multiple targets
2017 First IEEE MTT-S International Microwave Bio Conference (IMBIOC), 2017Co-Authors: Zhengyu Peng, Changzhi Li, José-maría Muñoz-ferreras, Roberto Gómez-garcíaAbstract:Hand gesture recognition is an emerging application of portable Radar Sensors. Most of existing works rely on Doppler-Radar Sensors for non-contact detection of hand motions. However, Doppler-Radar-based hand gesture recognition utilizes only the Doppler effect to extract motion features, which imposes a stringent requirement that only one motion is in the field of view of the Sensor, leading to limitations in practical applications. In this paper, we investigate the feasibility of using an FMCW Radar Sensor with range-Doppler processing to recognize human gestures when multiple moving subjects are present in the Sensor's field of view. A custom-designed portable 5.8-GHz FMCW Radar is used. By using range-Doppler processing in the range-Doppler domain, experimental results enable to verify the effectiveness of the proposed Radar Sensor in hand gesture identification with the existence of interferences from surrounding moving targets.
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Detection of bio-signals from body movement based on high-dynamic-range Doppler Radar Sensor (Invited)
2015 IEEE MTT-S 2015 International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO), 2015Co-Authors: Qinyi Lv, Yazhou Dong, Changzhi LiAbstract:Doppler Radar Sensor has been widely used in non-contact bio-signal monitoring. This paper aims at recovering bio-signals from body movement. To solve the severe phase wrapping and saturation problems in large-scale body movement, as well as unwanted DC offsets and gradual changes of received microwave power problems, curve fitting technology is employed to compensate for the large-scale body movement to recover small-scale bio-signal based on a digital-IF structured, high-dynamic-range Doppler Radar Sensor and linearized demodulated algorithms. Experimental validations show weak bio-signal hidden in the strong body movement noise can be well extracted.
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Distortion analysis of continuous-wave Radar Sensor for complete respiration pattern monitoring
2013 IEEE Topical Conference on Biomedical Wireless Technologies Networks and Sensing Systems, 2013Co-Authors: Changzhan Gu, Changzhi LiAbstract:Continuous-wave (CW) Radar Sensor has been used for monitoring physiological signals of respiration and heartbeat. Complete respiration pattern monitoring is of vital importance in motion-adaptive cancer radiotherapy which strictly relies on the respiration pattern to generate gating signals and track the tumor motion. However, the conventional AC-coupled Radar Sensor is subject to signal distortion due to the harmonics generated by nonlinear phase modulation. The distortion problem was often overlooked in the past but it may lead to false demodulation. In this paper, a DC-coupled architecture has been analyzed for complete respiration pattern monitoring. The DC-coupled approach allows the Radar Sensor to precisely measure movement with stationary moment, while the AC-coupled Radar Sensor is incapable of doing so. This paper further analyzes the distortion problem in AC-coupled Radar Sensor and demonstrates that the distortion comes from the loss of harmonic characteristics as the signal goes through the AC-coupled receiver chain. Both analysis and experiments show that the distortion decreases as the target frequency increases. It is shown that distortion-free measurement using AC-coupled Radar Sensor is also possible based on careful choice of the component parameters, but it results in tradeoffs with settling time, hardware cost, etc.
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accurate respiration measurement using dc coupled continuous wave Radar Sensor for motion adaptive cancer radiotherapy
IEEE Transactions on Biomedical Engineering, 2012Co-Authors: Changzhan Gu, Ruijiang Li, Hualiang Zhang, A Y C Fung, C Torres, Steve B Jiang, Changzhi LiAbstract:Accurate respiration measurement is crucial in motion-adaptive cancer radiotherapy. Conventional methods for respiration measurement are undesirable because they are either invasive to the patient or do not have sufficient accuracy. In addition, measurement of external respiration signal based on conventional approaches requires close patient contact to the physical device which often causes patient discomfort and undesirable motion during radiation dose delivery. In this paper, a dc-coupled continuous-wave Radar Sensor was presented to provide a noncontact and noninvasive approach for respiration measurement. The Radar Sensor was designed with dc-coupled adaptive tuning architectures that include RF coarse-tuning and baseband fine-tuning, which allows the Radar Sensor to precisely measure movement with stationary moment and always work with the maximum dynamic range. The accuracy of respiration measurement with the proposed Radar Sensor was experimentally evaluated using a physical phantom, human subject, and moving plate in a radiotherapy environment. It was shown that respiration measurement with Radar Sensor while the radiation beam is on is feasible and the measurement has a submillimeter accuracy when compared with a commercial respiration monitoring system which requires patient contact. The proposed Radar Sensor provides accurate, noninvasive, and noncontact respiration measurement and therefore has a great potential in motion-adaptive radiotherapy.
Qilian Liang - One of the best experts on this subject based on the ideXlab platform.
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Efficient sampling for Radar Sensor networks
International Journal of Sensor Networks, 2015Co-Authors: Junjie Chen, Qilian LiangAbstract:Compressive sensing CS is an excellent technique for data acquisition and reconstruction in Radar Sensor networks RSNs with a high computational capability. This paper presents a new efficient and effective signal compression and reconstruction algorithm based on CS principles for applications in real-world RSNs, in which the signals are obtained in real-world experiment of RSNs. The proposed algorithm neither requires any new optimisation method, nor needs complex pre-processing before compression. This method considers correlation between Radar Sensor signals to reduce the number of samples required for reconstruction of the original Radar signals. We compare our algorithm's performance and complexity with some existing work, such as joint PCA & CS, DCS, and traditional CS. Numerical results show that the proposed algorithm performs more efficiently and effectively without introducing any more computation complexity. With more Sensor nodes, our algorithm is more efficient, which significantly reduces the number of samples required per Sensor.
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Compressive Sensing for Radar and Radar Sensor Networks
2013Co-Authors: Qilian LiangAbstract:Abstract : In this project, compressive sensing for Radar and Radar Sensor networks were studied. Significant results have been achieved in the following aspects: Compressive Sensing in Radar Sensor Networks Using Pulse Compression Waveforms; Theoretical Performance Bounds for Compressive Sensing with Random Noise; Compressive Sensing in Radar Sensor Networks for Target RCS Value Estimation; Rate Distortion Performance Analysis of Compressive Sensing; etc. Three PhD students were directly supported by this project, and have graduated. Major recognitions and awards associated with the sponsored research were conferred to the PI. 21 journal papers and 30 conferences papers were published or presented, and a complete list is attached in this report.
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design and analysis of distributed Radar Sensor networks
IEEE Transactions on Parallel and Distributed Systems, 2011Co-Authors: Jing Liang, Qilian LiangAbstract:In this paper, we design a network of distributed Radar Sensors that work in an ad hoc fashion, but are grouped together by an intelligent clusterhead. This system is named Radar Sensor Network (RSN). A RSN not only provides spatial resilience for target detection and tracking compared to traditional Radars, but also alleviates inherent Radar defects such as the blind speed problem. This interdisciplinary area offers a new paradigm for parallel and distributed Sensor research. We propose both coherent and noncoherent RSN detection systems applying selection combination algorithm (SCA) performed by clusterhead to take the advantage of spatial diversity. Monte Carlo simulations show that proposed RSN can provide much better detection performance than that of single Radar Sensor for fluctuating targets, in terms of probability of false alarm and miss detection. We also analyze the impact of Doppler shift on both coherent and noncoherent RSN detection systems at the presence of clutter. The result is that the coherent system is more robust to the noncoherent RSN.
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GLOBECOM - Compressive Sensing for Radar Sensor Networks
2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010Co-Authors: Qilian LiangAbstract:Motivated by recent advances on Compressive Sensing (CS) and high data redundancy among Radars in Radar Sensor networks, we study CS for Radar Sensor networks. We demonstrate that the sense-through- foliage UWB Radar signals are very sparse, which means CS could be applied to Radar Sensor networks to tremendously reduce the sampling rate. We propose to apply SVD-QR and maximum likelihood algorithms to CS for Radar Sensor networks. SVD-QR could vastly reduce the number of Radar Sensors, and CS is applied to the selected Radar Sensors for data compression. Simulations are performed and our compression ratio could be 192:1 overall.
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Compressive Sensing for Radar Sensor Networks
2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010Co-Authors: Qilian LiangAbstract:Motivated by recent advances on Compressive Sensing (CS) and high data redundancy among Radars in Radar Sensor networks, we study CS for Radar Sensor networks. We demonstrate that the sense-through- foliage UWB Radar signals are very sparse, which means CS could be applied to Radar Sensor networks to tremendously reduce the sampling rate. We propose to apply SVD-QR and maximum likelihood algorithms to CS for Radar Sensor networks. SVD-QR could vastly reduce the number of Radar Sensors, and CS is applied to the selected Radar Sensors for data compression. Simulations are performed and our compression ratio could be 192:1 overall.
Mario Pauli - One of the best experts on this subject based on the ideXlab platform.
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miniaturized millimeter wave Radar Sensor for high accuracy applications
IEEE Transactions on Microwave Theory and Techniques, 2017Co-Authors: Mario Pauli, Wolfgang Winkler, Serdal Ayhan, Steffen Scherr, Benjamin Göttel, Akanksha Bhutani, Thomas ZwickAbstract:A highly miniaturized and commercially available millimeter wave (mmw) Radar Sensor working in the frequency range between 121 and 127 GHz is presented in this paper. It can be used for distance measurements with an accuracy in the single-digit micrometer range. The Sensor is based on the frequency modulated continuous wave (CW) Radar principle; however, CW measurements are also possible due to its versatile design. An overview of the existing mmw Radar Sensors is given and the integrated Radar Sensor is shown in detail. The radio frequency part of the Radar, which is implemented in SiGe technology, is described followed by the packaging concept. The Radar circuitry on chip as well as the external antennas is completely integrated into an 8 mm $\times \,\, 8$ mm quad flat no leads package that is mounted on a low-cost baseband board. The packaging concept and the complete baseband hardware are explained in detail. A two-step approach is used for the Radar signal evaluation: a coarse determination of the target position by the evaluation of the beat frequency combined with an additional determination of the phase of the signal. This leads to an accuracy within a single-digit micrometer range. The measurement results prove that an accuracy of better than $\pm 6~\mu \text{m}$ can be achieved with the Sensor over a measurement distance of 35 mm.
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Miniaturized Millimeter-Wave Radar Sensor for High-Accuracy Applications
IEEE Transactions on Microwave Theory and Techniques, 2017Co-Authors: Mario Pauli, Wolfgang Winkler, Serdal Ayhan, Steffen Scherr, Benjamin Göttel, Akanksha Bhutani, Thomas ZwickAbstract:A highly miniaturized and commercially available millimeter wave (mmw) Radar Sensor working in the frequency range between 121 and 127 GHz is presented in this paper. It can be used for distance measurements with an accuracy in the singledigit micrometer range. The Sensor is based on the frequency modulated continuous wave (CW) Radar principle; however, CW measurements are also possible due to its versatile design. An overview of the existing mmw Radar Sensors is given and the integrated Radar Sensor is shown in detail. The radio frequency part of the Radar, which is implemented in SiGe technology, is described followed by the packaging concept. The Radar circuitry on chip as well as the external antennas is completely integrated into an 8 mm × 8 mm quad flat no leads package that is mounted on a low-cost baseband board. The packaging concept and the complete baseband hardware are explained in detail. A two-step approach is used for the Radar signal evaluation: a coarse determination of the target position by the evaluation of the beat frequency combined with an additional determination of the phase of the signal. This leads to an accuracy within a single-digit micrometer range. The measurement results prove that an accuracy of better than ±6 μm can be achieved with the Sensor over a measurement distance of 35 mm.
R G Bosisio - One of the best experts on this subject based on the ideXlab platform.
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77 GHz compact multi-port Radar Sensor for automotive applications
2011 8th European Radar Conference, 2011Co-Authors: E Moldovan, S O Tatu, R G Bosisio, B. Boukari, Ke WuAbstract:A compact millimeter wave Radar Sensor, suitable for automotive applications, is presented in this paper. The work is focused on the design of a multi-port receiver, integrated on a thin ceramic substrate. A multi-port computer model for advanced system simulations is implemented using S-parameter measurements. A test bench is built using standard laboratory equipment, a waveguide transmitter, and the prototype receiver. Simulated and experimental results show a very good relative speed and range measurement precision.
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a new 94 ghz six port collision avoidance Radar Sensor
IEEE Transactions on Microwave Theory and Techniques, 2004Co-Authors: E Moldovan, S O Tatu, T Gaman, Ke Wu, R G BosisioAbstract:A new 94-GHz collision avoidance Radar Sensor is proposed. The receiver front-end module is based on a six-port phase/frequency discriminator (SPD). The SPD, composed of four 90/spl deg/ hybrid couplers, is manufactured in a metal block of brass using a computer numerically controlled milling machine. Simulation and measurement S-parameters of the SPD are presented in the frequency band. New SPD computer models are generated and used in the system simulations. Preliminary measurements and system simulations performed to obtain the relative velocity of the target and its distance are presented. Statistical evaluations show an acceptable measurement error of this Radar Sensor.
