Pub Date : 2008-07-21DOI: 10.1109/SAM.2008.4606874
I. Holfort, F. Gran, J. Jensen
In this paper, the adaptive, minimum variance (MV) beam-former is applied to medical ultrasound imaging. The significant resolution and contrast gain provided by the adaptive, minimum variance (MV) beamformer, introduces the possibility of plane wave (PW) ultrasound imaging. Data is obtained using Field II and a 7 MHz, 128-elements, linear array transducer with lambda/2-spacing. MV is compared to the conventional delay-and-sum (DS) beamformer with Boxcar and Hanning weights. Furthermore, the PW images are compared to the a conventional ultrasound image, obtained from a linear scan sequence. The four approaches, {Linear Scan, DS Boxcar, DS Hanning, MV}, have full width at half maximum of {0.82, 0.71, 1.28, 0.12} mm and peak side-lobe levels of {-40.1,-16.8,-34.4,-57.0} dB.
{"title":"Plane wave medical ultrasound imaging using adaptive beamforming","authors":"I. Holfort, F. Gran, J. Jensen","doi":"10.1109/SAM.2008.4606874","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606874","url":null,"abstract":"In this paper, the adaptive, minimum variance (MV) beam-former is applied to medical ultrasound imaging. The significant resolution and contrast gain provided by the adaptive, minimum variance (MV) beamformer, introduces the possibility of plane wave (PW) ultrasound imaging. Data is obtained using Field II and a 7 MHz, 128-elements, linear array transducer with lambda/2-spacing. MV is compared to the conventional delay-and-sum (DS) beamformer with Boxcar and Hanning weights. Furthermore, the PW images are compared to the a conventional ultrasound image, obtained from a linear scan sequence. The four approaches, {Linear Scan, DS Boxcar, DS Hanning, MV}, have full width at half maximum of {0.82, 0.71, 1.28, 0.12} mm and peak side-lobe levels of {-40.1,-16.8,-34.4,-57.0} dB.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127280532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-21DOI: 10.1109/SAM.2008.4606832
H. Mohseni, E. Wilding, S. Sanei
In this summary a method based on sequential Monte Carlo (SMC) techniques for EEG dipole source localization and tracking, in which a real head model is taken into account, is presented. The localization problem is formulated in the state space and the SMC method, which is a recursive non-Gaussian Bayesian solution, is employed. The method was applied to simulated and real data to show its potential in dipole source placing and tracking.
{"title":"Sequential monte carlo techniques for EEG dipole placing and tracking","authors":"H. Mohseni, E. Wilding, S. Sanei","doi":"10.1109/SAM.2008.4606832","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606832","url":null,"abstract":"In this summary a method based on sequential Monte Carlo (SMC) techniques for EEG dipole source localization and tracking, in which a real head model is taken into account, is presented. The localization problem is formulated in the state space and the SMC method, which is a recursive non-Gaussian Bayesian solution, is employed. The method was applied to simulated and real data to show its potential in dipole source placing and tracking.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128800225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-21DOI: 10.1109/SAM.2008.4606845
E. Karipidis, N. Sidiropoulos, L. Tassiulas
The joint power control and base station (BS) assignment problem is considered under Quality-of-Service (QoS) constraints. If a feasible solution exists, the problem can be efficiently solved using existing distributed algorithms. Infeasibility is often encountered in practice, however, which brings up the issue of optimal admission control. The joint problem is NP-hard, yet important for QoS provisioning and bandwidth-efficient operation of existing and emerging cellular and overlay/underlay networks. Recognizing this, there have been several attempts to develop reasonable heuristics for joint admission and power control. This contribution takes a more disciplined approach. The joint problem is first concisely formulated as a constrained optimization problem, whose objective combines the BS assignment, admission, and power control components. The formulation also allows for multicasting. A geometric programming approximation is then developed, which forms the core of a heuristic, yet well-motivated centralized algorithm that generates approximate solutions to the original NP-hard problem. Numerical results against an enumeration baseline illustrate the merits of the approach.
{"title":"Joint QoS multicast power / admission control and base station assignment: A geometric programming approach","authors":"E. Karipidis, N. Sidiropoulos, L. Tassiulas","doi":"10.1109/SAM.2008.4606845","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606845","url":null,"abstract":"The joint power control and base station (BS) assignment problem is considered under Quality-of-Service (QoS) constraints. If a feasible solution exists, the problem can be efficiently solved using existing distributed algorithms. Infeasibility is often encountered in practice, however, which brings up the issue of optimal admission control. The joint problem is NP-hard, yet important for QoS provisioning and bandwidth-efficient operation of existing and emerging cellular and overlay/underlay networks. Recognizing this, there have been several attempts to develop reasonable heuristics for joint admission and power control. This contribution takes a more disciplined approach. The joint problem is first concisely formulated as a constrained optimization problem, whose objective combines the BS assignment, admission, and power control components. The formulation also allows for multicasting. A geometric programming approximation is then developed, which forms the core of a heuristic, yet well-motivated centralized algorithm that generates approximate solutions to the original NP-hard problem. Numerical results against an enumeration baseline illustrate the merits of the approach.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127729331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-21DOI: 10.1109/SAM.2008.4606851
M. Rubsamen, A. Gershman
We present the asymptotic performance analysis of the interpolated root-MUSIC and manifold separation (MS) techniques for direction-of-arrival (DOA) estimation in arbitrary non-uniform sensor arrays. Our analysis takes into account both the effects of a limited number of snapshots and manifold approximation errors.
{"title":"Performance analysis of root-music-based direction-of-arrival estimation for arbitrary non-uniform array","authors":"M. Rubsamen, A. Gershman","doi":"10.1109/SAM.2008.4606851","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606851","url":null,"abstract":"We present the asymptotic performance analysis of the interpolated root-MUSIC and manifold separation (MS) techniques for direction-of-arrival (DOA) estimation in arbitrary non-uniform sensor arrays. Our analysis takes into account both the effects of a limited number of snapshots and manifold approximation errors.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126277248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-21DOI: 10.1109/SAM.2008.4606841
Xiqi Gao, Bin Jiang, Xiao Li, A. Gershman, M. Mckay
In this paper, a capacity bound for jointly correlated MIMO channel is investigated assuming full knowledge of the channel state information (CSI) at the receiver and statistical CSI at the transmitter. An eigenmode transmission strategy using statistical transmitter CSI is presented, and a closed-form capacity bound for eigenmode-based systems is derived. A relationship between the capacity upper bound and the permanent of the channel coupling matrix in eigenmode is established. Simulation results confirm the tightness of the obtained capacity bound.
{"title":"A closed-form capacity bound for jointly correlated MIMO channel","authors":"Xiqi Gao, Bin Jiang, Xiao Li, A. Gershman, M. Mckay","doi":"10.1109/SAM.2008.4606841","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606841","url":null,"abstract":"In this paper, a capacity bound for jointly correlated MIMO channel is investigated assuming full knowledge of the channel state information (CSI) at the receiver and statistical CSI at the transmitter. An eigenmode transmission strategy using statistical transmitter CSI is presented, and a closed-form capacity bound for eigenmode-based systems is derived. A relationship between the capacity upper bound and the permanent of the channel coupling matrix in eigenmode is established. Simulation results confirm the tightness of the obtained capacity bound.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127999579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-21DOI: 10.1109/SAM.2008.4606890
M. Swartling, M. Nilsson, N. Grbic
A permutation problem arises in the case of locating multiple speech sources using several sensor arrays in the far field. The intersection of different direction of arrival (DOA) estimates between sensor arrays leads to a set of real source locations as well as a set of false intersections. This paper presents a novel method for pairing DOA estimates from different sensor arrays, resulting in the corresponding real intersection points. The algorithm presented is numerically efficient and suitable for real time implementations. Real room recordings are used to evaluate the method.
{"title":"Distinguishing true and false source locations when locating multiple concurrent speech sources","authors":"M. Swartling, M. Nilsson, N. Grbic","doi":"10.1109/SAM.2008.4606890","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606890","url":null,"abstract":"A permutation problem arises in the case of locating multiple speech sources using several sensor arrays in the far field. The intersection of different direction of arrival (DOA) estimates between sensor arrays leads to a set of real source locations as well as a set of false intersections. This paper presents a novel method for pairing DOA estimates from different sensor arrays, resulting in the corresponding real intersection points. The algorithm presented is numerically efficient and suitable for real time implementations. Real room recordings are used to evaluate the method.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124010152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-21DOI: 10.1109/SAM.2008.4606862
C.J. Martin, O. Martinez, A. Octavio, F. Montero, L. G. Ullate
In this work we present a new algorithm, based on the polynomial division, that allows to obtain a desired coarray with arbitrary shape on a lineal array, using a synthetic aperture configuration with a finite number of subapertures of equal length. With this fast and simple algorithm, the wanted coarray is decomposed into a set of subapertures whose length is fixed by the requirements and resources of the system. The result is a set of coefficients that should be applied on the subapertures to synthesize the desired coarray, and consequently, the beam pattern wanted.
{"title":"Algorithm to obtain arbitrary coarrays using synthetic aperture techniques","authors":"C.J. Martin, O. Martinez, A. Octavio, F. Montero, L. G. Ullate","doi":"10.1109/SAM.2008.4606862","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606862","url":null,"abstract":"In this work we present a new algorithm, based on the polynomial division, that allows to obtain a desired coarray with arbitrary shape on a lineal array, using a synthetic aperture configuration with a finite number of subapertures of equal length. With this fast and simple algorithm, the wanted coarray is decomposed into a set of subapertures whose length is fixed by the requirements and resources of the system. The result is a set of coefficients that should be applied on the subapertures to synthesize the desired coarray, and consequently, the beam pattern wanted.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131069424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-21DOI: 10.1109/SAM.2008.4606859
Dinh-Quy Nguyen, XueXin Yap, W. Gan, Y. Chong
Recently, a time reversal operator method that is applied to ultrasonic detection and focusing with arrays of transducers has been proposed. This method is known as the DORT (Decomposition de lpsilaOperateur de Retournement Temporel). The DORT method requires the measurement of the inter-element impulse responses of the propagating medium for all pairs of elements in the array. Time reversal operator (TRO) is deduced from these responses and diagonalized. The eigenvector and eigenvalue of TRO is analyzed to perform selective focusing on different scatterers. We develop the numerical technique of DORT method by using the Greenpsilas function estimation in homogeneous and multiple scattering medium. This technique can set up the feasibility study of DORT method to perform selective focusing on multiple scatterers.
近年来，提出了一种用于换能器阵列超声检测和聚焦的时间反转算子方法。这种方法被称为DORT(分解lpsilaOperateur de Retournement Temporel)。DORT方法要求测量阵列中所有元对的传播介质的元间脉冲响应。从这些响应中推导出时间反转算子(TRO)并对角化。分析了TRO的特征向量和特征值，对不同的散射体进行选择性聚焦。在均匀散射和多重散射介质中，利用Greenpsilas函数估计，发展了DORT方法的数值计算技术。该技术为ort方法对多散射体进行选择性聚焦的可行性研究奠定了基础。
{"title":"Selective focusing with numerical technique of time reversal operator decomposition","authors":"Dinh-Quy Nguyen, XueXin Yap, W. Gan, Y. Chong","doi":"10.1109/SAM.2008.4606859","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606859","url":null,"abstract":"Recently, a time reversal operator method that is applied to ultrasonic detection and focusing with arrays of transducers has been proposed. This method is known as the DORT (Decomposition de lpsilaOperateur de Retournement Temporel). The DORT method requires the measurement of the inter-element impulse responses of the propagating medium for all pairs of elements in the array. Time reversal operator (TRO) is deduced from these responses and diagonalized. The eigenvector and eigenvalue of TRO is analyzed to perform selective focusing on different scatterers. We develop the numerical technique of DORT method by using the Greenpsilas function estimation in homogeneous and multiple scattering medium. This technique can set up the feasibility study of DORT method to perform selective focusing on multiple scatterers.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"1143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126997651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-21DOI: 10.1109/SAM.2008.4606896
D. Primor, G. Mikenberg, H. Messer
This paper addresses the problem of parameter estimation for tracking charged particles. The ad hoc techniques commonly used in high energy physics may not be sufficient to perform tracking in the complex background environment of future experiments, and algorithms based on modern signal processing may give interesting results. This paper describes a specific parameter estimation problem of a muon detector used in the ATLAS experiment, where the use of the estimation maximization (EM) algorithm results in improved performance, as an example of the potential benefit of using statistical signal processing techniques in high energy physics.
{"title":"The use of the EM algorithm for the CSC muon detection","authors":"D. Primor, G. Mikenberg, H. Messer","doi":"10.1109/SAM.2008.4606896","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606896","url":null,"abstract":"This paper addresses the problem of parameter estimation for tracking charged particles. The ad hoc techniques commonly used in high energy physics may not be sufficient to perform tracking in the complex background environment of future experiments, and algorithms based on modern signal processing may give interesting results. This paper describes a specific parameter estimation problem of a muon detector used in the ATLAS experiment, where the use of the estimation maximization (EM) algorithm results in improved performance, as an example of the potential benefit of using statistical signal processing techniques in high energy physics.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126676905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-21DOI: 10.1109/SAM.2008.4606884
Yong Zhao, W. Liu, R. Langley
The design of frequency invariant beamformers for traditional tapped delay-line array system can be formulated as a convex optimization problem and solved efficiently using the interior-point methods. This approach is extended to the recently proposed broadband beamforming system with sensor delay-lines and some variations are proposed to cope with the specific requirements in the design. Design examples are provided to show the effectiveness of the proposed method.
{"title":"Efficient design of frequency invariant beamformers with sensor delay-lines","authors":"Yong Zhao, W. Liu, R. Langley","doi":"10.1109/SAM.2008.4606884","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606884","url":null,"abstract":"The design of frequency invariant beamformers for traditional tapped delay-line array system can be formulated as a convex optimization problem and solved efficiently using the interior-point methods. This approach is extended to the recently proposed broadband beamforming system with sensor delay-lines and some variations are proposed to cope with the specific requirements in the design. Design examples are provided to show the effectiveness of the proposed method.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125249176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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