The Experts below are selected from a list of 12564 Experts worldwide ranked by ideXlab platform
Paul Edward Cuddihy - One of the best experts on this subject based on the ideXlab platform.
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quantitative gait measurement with pulse doppler Radar for passive in home gait assessment
IEEE Transactions on Biomedical Engineering, 2014Co-Authors: Fang Wang, Marjorie Skubic, Marilyn Rantz, Paul Edward CuddihyAbstract:In this paper, we propose a Pulse-Doppler Radar system for in-home gait assessment of older adults. A methodology has been developed to extract gait parameters including walking speed and step time using Doppler Radar. The gait parameters have been validated with a Vicon motion capture system in the lab with 13 participants and 158 test runs. The study revealed that for an optimal step recognition and walking speed estimation, a dual Radar set up with one Radar placed at foot level and the other at torso level is necessary. An excellent absolute agreement with intra-class correlation coefficients of 0.97 was found for step time estimation with the foot level Radar. For walking speed, although both Radars show excellent consistency they all have a system offset compared to the ground truth due to walking direction with respect to the Radar Beam. The torso level Radar has a better performance (9% offset on average) in the speed estimation compared to the foot level Radar (13-18% offset). Quantitative analysis has been performed to compute the angles causing the systematic error. These lab results demonstrate the capability of the system to be used as a daily gait assessment tool in home environments, useful for fall risk assessment and other health care applications. The system is currently being tested in an unstructured home environment. Language: en
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Quantitative Gait Measurement With Pulse-Doppler Radar for Passive In-Home Gait Assessment
IEEE Transactions on Biomedical Engineering, 2014Co-Authors: Fang Wang, Marjorie Skubic, Marilyn Rantz, Paul Edward CuddihyAbstract:In this paper, we propose a pulse-Doppler Radar system for in-home gait assessment of older adults. A methodology has been developed to extract gait parameters including walking speed and step time using Doppler Radar. The gait parameters have been validated with a Vicon motion capture system in the lab with 13 participants and 158 test runs. The study revealed that for an optimal step recognition and walking speed estimation, a dual Radar set up with one Radar placed at foot level and the other at torso level is necessary. An excellent absolute agreement with intraclass correlation coefficients of 0.97 was found for step time estimation with the foot level Radar. For walking speed, although both Radars show excellent consistency they all have a system offset compared to the ground truth due to walking direction with respect to the Radar Beam. The torso level Radar has a better performance (9% offset on average) in the speed estimation compared to the foot level Radar (13%-18% offset). Quantitative analysis has been performed to compute the angles causing the systematic error. These lab results demonstrate the capability of the system to be used as a daily gait assessment tool in home environments, useful for fall risk assessment and other health care applications. The system is currently being tested in an unstructured home environment.
Mojtaba Soltanalian - One of the best experts on this subject based on the ideXlab platform.
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efficient waveform covariance matrix design and antenna selection for mimo Radar
Signal Processing, 2021Co-Authors: Arindam Bose, Shahin Khobahi, Mojtaba SoltanalianAbstract:Abstract Controlling the Radar Beam-pattern by optimizing the transmit covariance matrix is a well-established approach for performance enhancement in multiple-input-multiple-output (MIMO) Radars. In this paper, we investigate the joint optimization of the waveform covariance matrix and the antenna position vector for a MIMO Radar system to approximate a given transmit Beam-pattern, as well as to minimize the cross-correlation between the probing signals at a number of given target locations. We formulate this design task as a non-convex optimization problem and then propose a cyclic optimization approach to efficiently approximate its solution. We further propose a local binary search algorithm in order to efficiently design the corresponding antenna positions. We show that the proposed method can be extended to the more general case of approximating the given Beam-pattern using a minimal number of antennas as well as optimizing their positions. Our numerical investigations demonstrate a great performance both in terms of accuracy and computational complexity, making the proposed framework a good candidate for usage in real-time Radar waveform processing applications such as MIMO Radar transmit Beamforming for aerial drones that are in motion.
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efficient waveform covariance matrix design and antenna selection for mimo Radar
2020Co-Authors: Arindam Bose, Shahin Khobahi, Mojtaba SoltanalianAbstract:Controlling the Radar Beam-pattern by optimizing the transmit covariance matrix is a well-established approach for performance enhancement in multiple-input-multiple-output (MIMO) Radars. In this paper, we investigate the joint optimization of the waveform covariance matrix and the antenna position vector for a MIMO Radar system to approximate a given transmit Beam-pattern, as well as to minimize the cross-correlation of the received waveforms reflected back from the targets. We formulate this design task as a non-convex optimization problem and then propose a cyclic optimization approach to efficiently approximate its solution. We further propose a local binary search algorithm in order to efficiently design the corresponding antenna positions. We show that the proposed method can be extended to the more general case of approximating the given Beam-pattern using a minimal number of antennas as well as optimizing their positions. Our numerical investigations demonstrate a great performance both in terms of accuracy and computational complexity, making the proposed framework a good candidate for usage in real-time Radar waveform processing applications such as MIMO Radar transmit Beamforming for aerial drones that are in motion.
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joint optimization of waveform covariance matrix and antenna selection for mimo Radar with application to aerial drones
arXiv: Signal Processing, 2020Co-Authors: Arindam Bose, Shahin Khobahi, Mojtaba SoltanalianAbstract:Controlling the Radar Beam-pattern by optimizing the transmit covariance matrix is a well-established approach for performance enhancement in multiple-input-multiple-output (MIMO) Radars. In this paper, we investigate the joint optimization of the waveform covariance matrix and the antenna position vector for a MIMO Radar system to approximate a given transmit Beam-pattern, as well as to minimize the cross-correlation of the received waveforms reflected back from the targets. We formulate this design task as a non-convex optimization problem and then propose a cyclic optimization approach to efficiently approximate its solution. We further propose a local binary search algorithm in order to efficiently design the corresponding antenna positions. We show that the proposed method can be extended to the more general case of approximating the given Beam-pattern using a minimal number of antennas as well as optimizing their positions. Our numerical investigations demonstrate a great performance both in terms of accuracy and computational complexity, making the proposed framework a good candidate for usage in real-time Radar waveform processing applications such as MIMO Radar transmit Beamforming for aerial drones that are in motion.
Fang Wang - One of the best experts on this subject based on the ideXlab platform.
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quantitative gait measurement with pulse doppler Radar for passive in home gait assessment
IEEE Transactions on Biomedical Engineering, 2014Co-Authors: Fang Wang, Marjorie Skubic, Marilyn Rantz, Paul Edward CuddihyAbstract:In this paper, we propose a Pulse-Doppler Radar system for in-home gait assessment of older adults. A methodology has been developed to extract gait parameters including walking speed and step time using Doppler Radar. The gait parameters have been validated with a Vicon motion capture system in the lab with 13 participants and 158 test runs. The study revealed that for an optimal step recognition and walking speed estimation, a dual Radar set up with one Radar placed at foot level and the other at torso level is necessary. An excellent absolute agreement with intra-class correlation coefficients of 0.97 was found for step time estimation with the foot level Radar. For walking speed, although both Radars show excellent consistency they all have a system offset compared to the ground truth due to walking direction with respect to the Radar Beam. The torso level Radar has a better performance (9% offset on average) in the speed estimation compared to the foot level Radar (13-18% offset). Quantitative analysis has been performed to compute the angles causing the systematic error. These lab results demonstrate the capability of the system to be used as a daily gait assessment tool in home environments, useful for fall risk assessment and other health care applications. The system is currently being tested in an unstructured home environment. Language: en
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Quantitative Gait Measurement With Pulse-Doppler Radar for Passive In-Home Gait Assessment
IEEE Transactions on Biomedical Engineering, 2014Co-Authors: Fang Wang, Marjorie Skubic, Marilyn Rantz, Paul Edward CuddihyAbstract:In this paper, we propose a pulse-Doppler Radar system for in-home gait assessment of older adults. A methodology has been developed to extract gait parameters including walking speed and step time using Doppler Radar. The gait parameters have been validated with a Vicon motion capture system in the lab with 13 participants and 158 test runs. The study revealed that for an optimal step recognition and walking speed estimation, a dual Radar set up with one Radar placed at foot level and the other at torso level is necessary. An excellent absolute agreement with intraclass correlation coefficients of 0.97 was found for step time estimation with the foot level Radar. For walking speed, although both Radars show excellent consistency they all have a system offset compared to the ground truth due to walking direction with respect to the Radar Beam. The torso level Radar has a better performance (9% offset on average) in the speed estimation compared to the foot level Radar (13%-18% offset). Quantitative analysis has been performed to compute the angles causing the systematic error. These lab results demonstrate the capability of the system to be used as a daily gait assessment tool in home environments, useful for fall risk assessment and other health care applications. The system is currently being tested in an unstructured home environment.
Arindam Bose - One of the best experts on this subject based on the ideXlab platform.
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efficient waveform covariance matrix design and antenna selection for mimo Radar
Signal Processing, 2021Co-Authors: Arindam Bose, Shahin Khobahi, Mojtaba SoltanalianAbstract:Abstract Controlling the Radar Beam-pattern by optimizing the transmit covariance matrix is a well-established approach for performance enhancement in multiple-input-multiple-output (MIMO) Radars. In this paper, we investigate the joint optimization of the waveform covariance matrix and the antenna position vector for a MIMO Radar system to approximate a given transmit Beam-pattern, as well as to minimize the cross-correlation between the probing signals at a number of given target locations. We formulate this design task as a non-convex optimization problem and then propose a cyclic optimization approach to efficiently approximate its solution. We further propose a local binary search algorithm in order to efficiently design the corresponding antenna positions. We show that the proposed method can be extended to the more general case of approximating the given Beam-pattern using a minimal number of antennas as well as optimizing their positions. Our numerical investigations demonstrate a great performance both in terms of accuracy and computational complexity, making the proposed framework a good candidate for usage in real-time Radar waveform processing applications such as MIMO Radar transmit Beamforming for aerial drones that are in motion.
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efficient waveform covariance matrix design and antenna selection for mimo Radar
2020Co-Authors: Arindam Bose, Shahin Khobahi, Mojtaba SoltanalianAbstract:Controlling the Radar Beam-pattern by optimizing the transmit covariance matrix is a well-established approach for performance enhancement in multiple-input-multiple-output (MIMO) Radars. In this paper, we investigate the joint optimization of the waveform covariance matrix and the antenna position vector for a MIMO Radar system to approximate a given transmit Beam-pattern, as well as to minimize the cross-correlation of the received waveforms reflected back from the targets. We formulate this design task as a non-convex optimization problem and then propose a cyclic optimization approach to efficiently approximate its solution. We further propose a local binary search algorithm in order to efficiently design the corresponding antenna positions. We show that the proposed method can be extended to the more general case of approximating the given Beam-pattern using a minimal number of antennas as well as optimizing their positions. Our numerical investigations demonstrate a great performance both in terms of accuracy and computational complexity, making the proposed framework a good candidate for usage in real-time Radar waveform processing applications such as MIMO Radar transmit Beamforming for aerial drones that are in motion.
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joint optimization of waveform covariance matrix and antenna selection for mimo Radar with application to aerial drones
arXiv: Signal Processing, 2020Co-Authors: Arindam Bose, Shahin Khobahi, Mojtaba SoltanalianAbstract:Controlling the Radar Beam-pattern by optimizing the transmit covariance matrix is a well-established approach for performance enhancement in multiple-input-multiple-output (MIMO) Radars. In this paper, we investigate the joint optimization of the waveform covariance matrix and the antenna position vector for a MIMO Radar system to approximate a given transmit Beam-pattern, as well as to minimize the cross-correlation of the received waveforms reflected back from the targets. We formulate this design task as a non-convex optimization problem and then propose a cyclic optimization approach to efficiently approximate its solution. We further propose a local binary search algorithm in order to efficiently design the corresponding antenna positions. We show that the proposed method can be extended to the more general case of approximating the given Beam-pattern using a minimal number of antennas as well as optimizing their positions. Our numerical investigations demonstrate a great performance both in terms of accuracy and computational complexity, making the proposed framework a good candidate for usage in real-time Radar waveform processing applications such as MIMO Radar transmit Beamforming for aerial drones that are in motion.
Fauzia Ahmad - One of the best experts on this subject based on the ideXlab platform.
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dual function Radar communications information embedding using sidelobe control and waveform diversity
IEEE Transactions on Signal Processing, 2016Co-Authors: Aboulnasr Hassanien, Moeness G. Amin, Yimin Zhang, Fauzia AhmadAbstract:We develop a new technique for a dual-function system with joint Radar and communication platforms. Sidelobe control of the transmit Beamforming in tandem with waveform diversity enables communication links using the same pulse Radar spectrum. Multiple simultaneously transmitted orthogonal waveforms are used for embedding a sequence of LB bits during each Radar pulse. Two weight vectors are designed to achieve two transmit spatial power distribution patterns, which have the same main Radar Beam, but differ in sidelobe levels towards the intended communication receivers. The receiver interpretation of the bit is based on its radiated Beam. The proposed technique allows information delivery to single or multiple communication directions outside the mainlobe of the Radar. It is shown that the communication process is inherently secure against intercept from directions other than the pre-assigned communication directions. The employed waveform diversity scheme supports a multiple-input multiple-output Radar operation mode. The performance of the proposed technique is investigated in terms of the bit error rate.
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Phase-modulation based dual-function Radar-communications
IET Radar Sonar & Navigation, 2016Co-Authors: Aboulnasr Hassanien, Yimin D Zhang, Moeness G. Amin, Fauzia AhmadAbstract:The authors develop a novel phase-modulation based dual-function system with joint Radar and communication platforms. A bank of transmit Beamforming weight vectors is designed such that they form the same transmit power radiation patterns, whereas the phase associated with each transmit Beam towards the intended communication directions belongs to a certain phase constellation. During each Radar pulse, a binary sequence is mapped into one point of the constellation which, in turn, is embedded into the Radar emission by selecting the transmit weight vectors associated with that constellation point. The communication receiver detects the phase of the received signal and uses it to decode the embedded binary sequence. The proposed technique allows information delivery to the intended communication receiver regardless of whether it is located in the sidelobe region or within the main Radar Beam. Three signalling strategies are proposed which can be used to achieve coherent communications, non-coherent communications, and non-coherent broadcasting, respectively. It is verified that the proposed method provides improved bit error performance as compared to previously reported sidelobe modulation based dual-functionality techniques.
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a dual function Radar communications system using sidelobe control and waveform diversity
IEEE Radar Conference, 2015Co-Authors: Aboulnasr Hassanien, Yimin D Zhang, Moeness G. Amin, Fauzia AhmadAbstract:In this paper, we develop a new technique for dual-function Radar-communications in a transmit multi-sensor array where information embedding is achieved using sidelobe control in tandem with waveform diversity. A set of Q orthogonal waveforms is exploited to embed a sequence of Q bits during each Radar pulse. All waveforms are transmitted simultaneously where one bit is embedded in each waveform. We design two transmit weight vectors to achieve two distinct transmit power distribution patterns which share the same main Radar Beam but have different sidelobe levels towards the communication direction. The receiver interprets the bit associated with a certain waveform as binary information based on whether that waveform is radiated over the transmit Beam associated with the first or the second weight vector. The proposed technique enables information delivering to a single or multiple communication directions located outside the mainlobe of the Radar. The communication message has low probability of intercept from directions other than the preassigned communication directions. Additionally, the waveform diversity enables the Radar to operate in multiple-input multiple-output (MIMO) mode. The performance of the proposed technique is investigated in terms of the bit error rate (BER).
