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

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On the use of autoregressive modeling for localization of speech 自回归建模在语音定位中的应用
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606888
J. Dmochowski, J. Benesty, S. Affes
{"title":"On the use of autoregressive modeling for localization of speech","authors":"J. Dmochowski, J. Benesty, S. Affes","doi":"10.1109/SAM.2008.4606888","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606888","url":null,"abstract":"The localization of speech is essential for improving the quality of hands-free pick-up as well as for applications such as automatic camera steering. This paper proposes a source localization method tailored to the distinct nature of speech that is based on the linearly constrained minimum variance (LCMV) beamforming method. The LCMV steered beam temporally focuses the array onto the desired signal. By modeling the desired signal as an autoregressive (AR) process and embedding the AR coefficients in the linear constraints, the localization accuracy is significantly improved as compared to existing techniques.","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":"130176950","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
Low-complexity implementation for worst-case optimization-based robust adaptive beamforming 基于最坏情况优化的鲁棒自适应波束形成的低复杂度实现
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606879
Biao Jiang
{"title":"Low-complexity implementation for worst-case optimization-based robust adaptive beamforming","authors":"Biao Jiang","doi":"10.1109/SAM.2008.4606879","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606879","url":null,"abstract":"In this paper, an efficient low-complexity robust adaptive beamforming method based on worst-case performance optimization is proposed. Lagrangian method was applied to obtain the expression for the robust adaptive weight vector, which is optimized on the boundary of the steering vector uncertainty region, that is to say, in the worst mismatch case. Combining the constraint condition and the eigendecomposition of the array covariance matrix, root-finding method is used to obtain the optimal Lagrange multiplier. Then, the diagonal loading-like robust weight vector is achieved. The implementation efficiency is greatly improved since the main computational burden is the eigendecomposition operator. Numerical results show that the performance of the proposed method is nearly identical to the robust Capon beamforming.","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":"127840544","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: 1
Canonical decomposition of even higher order cumulant arrays for blind underdetermined mixture identification 盲欠定混合物识别中高阶累积量阵列的典型分解
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606921
A. Karfoul, L. Albera, L. De Lathauwer
{"title":"Canonical decomposition of even higher order cumulant arrays for blind underdetermined mixture identification","authors":"A. Karfoul, L. Albera, L. De Lathauwer","doi":"10.1109/SAM.2008.4606921","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606921","url":null,"abstract":"A new family of methods, named 2q-ORBIT (q > 1), is proposed in this paper in order to blindly identify potentially underdetermined mixtures of statistically independent sources. These methods are based on the canonical decomposition of q-th order (q ges 2) cumulants. The latter decomposition is brought back to the decomposition of a third order array whose one loading matrix is unitary. Such a decomposition is then computed by alterning and repeating two schemes until convergence: the first one consists in solving a Procrustes problem while the second one needs to compute the best rank-1 approximation of several q-th order arrays. Computer results show a good efficiency of the proposed methods with respect to classical cumulant-based algorithms especially in the underdetermined case.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"29 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":"124672563","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
Compressive sensing for sensor calibration 用于传感器校准的压缩感知
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606849
V. Cevher, Richard Baraniuk
{"title":"Compressive sensing for sensor calibration","authors":"V. Cevher, Richard Baraniuk","doi":"10.1109/SAM.2008.4606849","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606849","url":null,"abstract":"We consider a calibration problem, where we determine an unknown sensor location using the known track of a calibration target and a known reference sensor location. We cast the calibration problem as a sparse approximation problem where the unknown sensor location is determined over a discrete spatial grid with respect to the reference sensor. To achieve the calibration objective, low dimensional random projections of the sensor data are passed to the reference sensor, which significantly reduces the inter-sensor communication bandwidth. The unknown sensor location is then determined by solving an lscr1-norm minimization problem (linear program). Field data results are provided to demonstrate the effectiveness of the approach.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"4 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":"124735292","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: 14
Robust adaptive vector sensor processing in the presence of mismatch and finite sample support 存在不匹配和有限样本支持的鲁棒自适应矢量传感器处理
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606915
A. J. Poulsen, R. Nadakuditi, A. Baggeroer
{"title":"Robust adaptive vector sensor processing in the presence of mismatch and finite sample support","authors":"A. J. Poulsen, R. Nadakuditi, A. Baggeroer","doi":"10.1109/SAM.2008.4606915","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606915","url":null,"abstract":"We present analytical results which quantify the effect of system mismatch and finite sample support on acoustic vector sensor array performance. One noteworthy result is that the vector aspect of the array ldquodampensrdquo the effect of array mismatch, enabling deeper true nulls. This is accomplished because the variance of the vector sensor array spatial response (due to rotational, positional and filter gain/phase perturbations) decreases in the sidelobes, unlike arrays of omnidirectional hydrophones. When sensor orientation is measured within a reasonable tolerance, the beampattern variance dominates the average sidelobe power response. Our analysis also suggests that vector sensor array gain performance is less sensitive to rotational than to positional perturbations in the regions of interest. We analytically characterize the eigen-SNR threshold, which depends on the signal and noise covariance and the number of noise-only and signal-plus-noise snapshots, below which (asymptotically speaking) reliable detection using sample eigenvalue based techniques is not possible. Thus for a given number of snapshots, since the dimensionality of the snapshot in a vector sensor array is larger than that of a hydrophone-only array, the eigen-SNR detection threshold will be greater whenever the eigenvector information is discarded. We present processing techniques customized to the unique characteristics of vector sensors, which exploit information encoded in the sample eigenvectors and are robust to the mismatch and finite sample support issues. These methods include adaptive processing techniques with multiple white noise constraints.","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":"123292427","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: 8
A low-complexity near-ML decoding technique via reduced dimension list stack algorithm 基于降维表堆栈算法的低复杂度近ml解码技术
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606820
J. Choi, B. Shim, A. Singer, N. Cho
{"title":"A low-complexity near-ML decoding technique via reduced dimension list stack algorithm","authors":"J. Choi, B. Shim, A. Singer, N. Cho","doi":"10.1109/SAM.2008.4606820","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606820","url":null,"abstract":"In this paper, we propose a near maximum likelihood (ML) decoding technique, which reduces the computational complexity of the exact ML decoding algorithm. The computations needed for the tree search in the ML decoding is simplified by reducing the dimension of the search space prior to the tree search. In order to compensate performance loss due to the dimension reduction, a list stack algorithm (LSA) is considered, which produces a list of the top K closest points. The combination of both approaches, called reduced dimension list stack algorithm (RD-LSA), is shown to provide flexibility and offers a performance-complexity trade-off. Simulations performed for V-BLAST transmission demonstrate that significant complexity reduction can be achieved compared to the sphere decoding algorithm (SDA) while keeping the performance loss below an acceptable level.","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":"129284482","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
Optimal power allocation in opportunistic relaying with outdated CSI 过时CSI条件下机会中继的最优功率分配
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606822
J. Lopez Vicario, A. Morell, A. Bel, G. Seco-Granados
{"title":"Optimal power allocation in opportunistic relaying with outdated CSI","authors":"J. Lopez Vicario, A. Morell, A. Bel, G. Seco-Granados","doi":"10.1109/SAM.2008.4606822","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606822","url":null,"abstract":"In this paper, we study the impact of outdated channel state information (CSI) on a cooperative system based on opportunistic relay selection (ORS). The study is carried out by obtaining an analytical expression for the outage probability, defined as the probability that the instantaneous mutual information is lower than a target rate. Besides, we propose the optimal power allocation aimed at minimizing the outage probability when the available CSI is subject to impairments. As shown in the paper, the proposed strategy provides significant gains when compared with uniform power allocation.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"48 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":"116687875","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
Optimal radio emitter location based on the Doppler effect 基于多普勒效应的无线电发射机最优定位
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606823
A. Amar, A. Weiss
{"title":"Optimal radio emitter location based on the Doppler effect","authors":"A. Amar, A. Weiss","doi":"10.1109/SAM.2008.4606823","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606823","url":null,"abstract":"Differential Doppler is a common technique for emitter localization in which the signal of a stationary emitter is intercepted by at least two moving receivers. The frequency difference between the receivers is measured at several locations along their trajectories and the emitterpsilas position is then estimated based on these measurements. This two-step approach is suboptimal since each measurement is performed independently, although all measurements correspond to the same position. Instead, a single step maximum likelihood approach is proposed here for known and unknown waveforms. The position is determined directly from all the observations by a search in the position space. Simulations show that the proposed method outperforms the differential Doppler method for weak signals while both methods converge to the Cramer Rao bound for strong signals. Also, in some cases of interest the proposed method inherently selects reliable observations while ignoring unreliable data.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"29 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":"128904266","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
An orthogonal projection based blind beamformer for DS-CDMA systems 一种用于DS-CDMA系统的正交投影盲波束形成器
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606819
Jianshu Chen, Jian Wang, Pengyu Zhang, Jian Yuan, X. Shan
{"title":"An orthogonal projection based blind beamformer for DS-CDMA systems","authors":"Jianshu Chen, Jian Wang, Pengyu Zhang, Jian Yuan, X. Shan","doi":"10.1109/SAM.2008.4606819","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606819","url":null,"abstract":"Conventional blind beamformers in DS-CDMA systems generally suffer from either unreliable convergence rate or signal cancellation in practical signal environment. In this paper, we propose a novel orthogonal projection scheme to extract spatial interference structure for the blind beamformer, which requires neither the direction of the desired signal nor the array geometry information. Exploiting more signal-free interference samples makes the convergence of the beamformer fast and independent of the desired signal strength. Simulation results demonstrate its better interference suppression ability than the pre- and post- correlation (PAPC) scheme and the filter pair (FP) scheme. Furthermore, the proposed recursive algorithm can null the newly entering interferers within a few symbols, making it suitable for dynamic multiple access channels.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"6 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":"116494819","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: 3
Optimal precoder design for mimo systems using decision feedback receivers 采用决策反馈接收机的mimo系统的最佳预编码器设计
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI: 10.1109/SAM.2008.4606836
Tingting Liu, Jian-Kang Zhang, K. M. Wong
{"title":"Optimal precoder design for mimo systems using decision feedback receivers","authors":"Tingting Liu, Jian-Kang Zhang, K. M. Wong","doi":"10.1109/SAM.2008.4606836","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606836","url":null,"abstract":"For precoder design problems in a multi-input multi-output (MIMO) communication system, perfect knowledge of the channel state information (CSI) at both the transmitter and the receiver is usually required. However, it is often difficult to provide sufficiently timely and accurate feedback of CSI from the receiver to the transmitter for such designs to be practically viable. In this paper, we consider the optimum design of a precoder for a wireless communication link having M transmitter antennas and N receiver antennas (M < N), in which the channels are assumed to be flat fading and may be correlated. We assume that full CSI is known at the receiver, but only the first- and second-order statistics of the channels are available at the transmitter. Our goal is to come up with an efficient design of the optimal precoder for such a MIMO system by minimizing the average arithmetic mean-squared error (MSE) of zero-forcing decision feedback (ZF-DF) detection subject to a constraint on the total transmitting power. We transform this non-convex optimization problem into a convex geometrical programming problem, which can then be efficiently solved using an interior point method. For the case when the transmission channels are uncorrelated, a closed-form solution of the optimum precoder has been obtained. The superior performance of our MIMO system equipped with the optimum precoder is verified by computer simulations.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"4 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":"123968495","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
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