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2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop最新文献

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Blind separation of cyclostationary sources using non-orthogonal approximate joint diagonalization 基于非正交近似联合对角化的环平稳源盲分离
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606919
N. Cheviet, M. El Badaoui, A. Belouchrani, F. Guillet
{"title":"Blind separation of cyclostationary sources using non-orthogonal approximate joint diagonalization","authors":"N. Cheviet, M. El Badaoui, A. Belouchrani, F. Guillet","doi":"10.1109/SAM.2008.4606919","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606919","url":null,"abstract":"This paper presents a new technique for the blind separation of cyclostationary signals by exploiting the cyclostationary nonstochastic temporal-probability models (fraction on time FOT) for signals (time-series) with periodic structure. The proposed approach is based on the joint diagonalization nonorthogonal of a set of matrices which have the same structure, then it can be simultaneously separating all sources without any restrictions and distributions to the number of cyclic frequencies of each sources. Simulation results are provided to illustrate the effectiveness of the proposed approach.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"64 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":"123483119","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}
引用次数: 5
Localization of diffracted seismic noice source using an array of seismic sensors 用地震传感器阵列定位绕射地震声源
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606854
N. Gulunay
{"title":"Localization of diffracted seismic noice source using an array of seismic sensors","authors":"N. Gulunay","doi":"10.1109/SAM.2008.4606854","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606854","url":null,"abstract":"Seismic receiver arrays that are used in modern 3D marine surveys can also be used as 2D sensor arrays in the localization of the diffracted noise sources and hence allow attenuation of such noise from the seismic records.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"35 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":"123850046","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}
引用次数: 2
Evaluation of emerging frequency domain convolutive blind source separation algorithms based on real room recordings 基于真实房间记录的新兴频域卷积盲源分离算法评价
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606886
S. M. Naqvi, Y. Zhang, T. Tsalaile, S. Sanei, J. Chambers
{"title":"Evaluation of emerging frequency domain convolutive blind source separation algorithms based on real room recordings","authors":"S. M. Naqvi, Y. Zhang, T. Tsalaile, S. Sanei, J. Chambers","doi":"10.1109/SAM.2008.4606886","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606886","url":null,"abstract":"This paper presents a comparative study of three of the emerging frequency domain convolutive blind source separation (FDCBSS) techniques i.e. convolutive blind separation of non-stationary sources due to Parra and Spence, penalty function-based joint diagonalization approach for convolutive blind separation of nonstationary sources due to Wang et al. and a geometrically constrained multimodal approach for convolutive blind source separation due to Sanei et al. Objective evaluation is performed on the basis of signal to interference ratio (SIR), performance index (PI) and solution to the permutation problem. The results confirm that a multimodal approach is necessary to properly mitigate the permutation in BSS and ultimately to solve the cocktail party problem. In other words, it is to make BSS semiblind by exploiting prior geometrical information, and thereby providing the framework to find robust solutions for more challenging source separation with moving speakers.","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":"130001958","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}
引用次数: 2
Non-myopic sensor scheduling for a centralized sensor network 集中式传感器网络的非近视眼传感器调度
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606871
H. Shah, D. Morrell
{"title":"Non-myopic sensor scheduling for a centralized sensor network","authors":"H. Shah, D. Morrell","doi":"10.1109/SAM.2008.4606871","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606871","url":null,"abstract":"When tracking a target in a sensor network with constrained resources, the target state estimate error can be significantly reduced using non-myopic sensor scheduling strategies. Integer non-linear programming has been used to obtain myopic sensor schedules (Chhetri et al., 2007). In this paper, we apply it to a non-myopic sensor scheduling scenario consisting of a network of acoustic sensors in a centralized sensor network; there is one fusion center that combines measurements to update target belief. We cast this problem, which we call the Central Node Scheduling problem, as an integer non-linear programming problem with the objective of minimizing the total predicted tracking error over an M step planning horizon subject to sensor usage and start-up cost constraints. Using Monte Carlo simulations, we show the benefits of this approach for the centralized sensor network.","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":"130213921","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}
引用次数: 0
On the Cramér-Rao bound for the constrained and unconstrained complex parameters 关于有约束和无约束复参数的cram<s:1> r- rao界
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606902
E. Ollila, V. Koivunen, J. Eriksson
{"title":"On the Cramér-Rao bound for the constrained and unconstrained complex parameters","authors":"E. Ollila, V. Koivunen, J. Eriksson","doi":"10.1109/SAM.2008.4606902","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606902","url":null,"abstract":"We derive a complex form of the unconstrained and constrained Cramer-Rao lower bound (CRB) of composite real parameters formed by stacking the real and imaginary part of the complex parameters. The derived complex constrained and unconstrained CRB is easy to calculate and possesses similar structure as in the real parameter case but with the real covariance, Jacobian and the Fisher information matrix replaced by complex matrices with analogous interpretations. The advantage of the complex CRB is that it is oftentimes easier to calculate than its real form. It is highlighted that a statistic that attains a bound on the complex covariance matrix alone do not necessarily attain the CRB since complex covariance matrix does not provide a full second-order description of a complex statistic since also the pseudo-covariance matrix is needed. Our derivations also lead to some new insights and theory that are similar to real CRB theory.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"49 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":"132746217","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}
引用次数: 28
Cooperative MIMO field measurements for military UHF band in low-rise urban environment 低层城市环境下军用UHF频段协同MIMO现场测量
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606838
A. R. Hammons, J. Hampton, N. Merheb, M. Cruz
{"title":"Cooperative MIMO field measurements for military UHF band in low-rise urban environment","authors":"A. R. Hammons, J. Hampton, N. Merheb, M. Cruz","doi":"10.1109/SAM.2008.4606838","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606838","url":null,"abstract":"Experimental measurements have recently been taken in Baltimore, Maryland, to determine the channel characteristics pertaining to multiple-input multiple-output (MIMO) radio links operating in military UHF band in a low-rise urban setting. The test equipment provides a non-realtime 2 times 3 MIMO system in which the two transmit antennas can be separated by distances varying from short (sub-wavelength) to very long (on the order of city blocks). Channel capacities, computed from the measured channel transfer matrices, can then be characterized as a function of the spatial relationships among the transmit and receive antennas. Initial results are presented for selected conventional and distributed MIMO geometries.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"15 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":"134149271","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}
引用次数: 12
A dual-linear predictor approach to blind source extraction for noisy mixtures 噪声混合源盲提取的双线性预测方法
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606924
W. Liu, D. Mandic, A. Cichocki
{"title":"A dual-linear predictor approach to blind source extraction for noisy mixtures","authors":"W. Liu, D. Mandic, A. Cichocki","doi":"10.1109/SAM.2008.4606924","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606924","url":null,"abstract":"A second-order statistics based dual-linear predictor structure is proposed for blind source extraction from noisy instantaneous mixtures. The noise component is assumed to be spatially and temporally white, but the variance information of noise is not required. A detailed proof of the proposed approach is provided and an adaptive algorithm is developed. Simulation results show that it can extract the source signals successfully.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"1039 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":"113994909","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}
引用次数: 7
Algorithms for tracking with an array of magnetic sensors 磁传感器阵列跟踪算法
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606904
R. Kozick, B. Sadler
{"title":"Algorithms for tracking with an array of magnetic sensors","authors":"R. Kozick, B. Sadler","doi":"10.1109/SAM.2008.4606904","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606904","url":null,"abstract":"We consider the problem of tracking a magnetic target as it travels in a straight-line path in the vicinity of N magnetic sensors. The target is modeled as a magnetic dipole, and we study tracking algorithms when the sensors are total-field (scalar) magnetometers and vector magnetometers. A novel, computationally-efficient vector-field algorithm is presented that jointly processes the data from N sensors, yielding estimates of the track and the target dipole moment vector. Simulation examples are included to illustrate the performance of the total-field and vector algorithms.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"80 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":"129178832","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}
引用次数: 13
Passive radar target tracking using chirplet transform 基于小波变换的无源雷达目标跟踪
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606916
F. Farhad Zadeh, H. Amindavar
{"title":"Passive radar target tracking using chirplet transform","authors":"F. Farhad Zadeh, H. Amindavar","doi":"10.1109/SAM.2008.4606916","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606916","url":null,"abstract":"In this paper, we utilize chirplet transformation to estimate the differential delays-Dopplers in an array of sensors. After chirplet modeling of the received signals from each sensor we use extended Kalman filtering (EKF) for tracking the targets by estimating the differential delays and differential Dopplers. This new approach is particularly useful in passive radar and sonar for target tracking. Chirplet modeling is crucial since the received signals are non-stationary in nature.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"340 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":"124778888","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}
引用次数: 0
An algorithm for mapping the positions of point scatterers 一种映射点散射体位置的算法
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606825
L. Reggiani, M. Rydstrom, E. Strom, A. Svensson
{"title":"An algorithm for mapping the positions of point scatterers","authors":"L. Reggiani, M. Rydstrom, E. Strom, A. Svensson","doi":"10.1109/SAM.2008.4606825","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606825","url":null,"abstract":"We investigate the feasibility of mapping point scatterers based only on multipath signal component delay estimates, i.e., no angle-of-arrival information is assumed to be available. In this work we focus on the generation of input data to a point scatterer mapping algorithm that was recently proposed in (Rydstrom, 2008). In an effort to make the mapping problem computationally tractable in ultra-wide band networks, we first propose a mechanism that detects the presence of new point scatterers in an environment, and reduces the number of unwanted signal components due to other scattering objects in the environment. We also propose to group signal components into clusters, and base delay estimates on the cluster arrival times, instead of on individual signal components. Computer simulations of an ultra-wide band network indicate that reasonably accurate point scatterer mapping should indeed be feasible in some scenarios using only estimates of signal component delay.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"2 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":"129651833","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}
引用次数: 4
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