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检索条件"任意字段=2008 IEEE Sensor Array and Multichannel Signal Processing Workshop"

共 1267 条记录，以下是301-310 订阅

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Direction of Arrival Estimation with Microphone arrays Using SRP-PHAT and Neural Networks 10

Direction of Arrival Estimation with Microphone Arrays Using...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Diaz-Guerra, David Beltran, Jose R. Univ Zaragoza Dept Elect Engn & Commun Zaragoza Spain

ISBN: (纸本)9781538647523

The Steered Response Power with phase transform (SRP-PHAT) is one of the most employed techniques for Direction of Arrival (DOA) estimation with microphone arrays due its robustness against acoustical conditions as reverberation or noise. Among its main drawbacks is the growth of its computational complexity when the search space increases. To solve this issue, we propose the use of Neural Networks (NN) to obtain the DOA as a regression problem from a low resolution SRP-PHAT power map. The NNs can learn and exploit the information of the acoustic reflections of the room where the array is located with a training method that can be easily performed by an end user without technical knowledge.

关键词： microphone array direction of arrival DOA Sound Source Localization SSL SRP SRP-PHAT neural netowrks tele-conference system Wireless Acoustic sensor Network WASN WSN

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Advanced Hybrid Beamforming Design for MIMO Systems 10

Advanced Hybrid Beamforming Design for MIMO Systems

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Yang, Bowen Molu, Mehdi M. Zhang, Lei Univ Glasgow Sch Engn Glasgow G12 8QQ Lanark Scotland SCSC Cambridge CB4 0DS England

ISBN: (纸本)9781538647523

One of the fundamental problems for hybrid beamformer design in MIMO systems is that, in Singular-Value-Decomposition (SVD) based beamforming, the analog beamformer is limited to constant modulus. In order to solve this issue, an algorithm is proposed in this paper. Specifically, the parallel data streams are expressed mathematically, and then the math expression of the analog beamformer is achieved through maximizing the power of desired data streams while minimizing the power of interference. Then, the digital part of the beamformer is calculated based on a channel equivalent process, i.e., considering the phase response vector of the derived analog beamformers as part of the channel observed by the digital beamformers. Simulations are performed on the proposed algorithm and compared to a recent state-of-the-art technique. The results show that the proposed one outperforms in terms of sphere of application (i.e., different antenna array sizes and channel sparsities).

关键词： Antenna arrays array signal processing signal processing algorithms Interference Radio frequency Scattering Complexity theory"

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Joint Range, Angle and Doppler Estimation for FDA-MIMO Radar 10

Joint Range, Angle and Doppler Estimation for FDA-MIMO Radar

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Xu, Jian Wang, Wen-Qin Cui, Can Gui, Ronghua Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Sichuan Peoples R China

ISBN: (纸本)9781538647523

Frequency diverse array (FDA) radar for joint range and angle estimation has drawn much attention, but Doppler estimation is often ignored in the literature. In this paper, we propose joint range, angle and Doppler estimation for FDA-multiple-input multiple-output (FDA-MIMO) radar. In order to reduce the computation complexity, the Doppler is independently estimated firstly by the extended invariance principle instead of maximum likelihood (ML) estimator. Next, the range and angle are estimated separately with the unstructured model. That is, the three-dimensional search problem of joint range, angle and Doppler estimation is simplified into three one-dimensional search problems. The superiorities of the proposed method over conventional ML algorithms are verified by numerical results.

关键词： Doppler effect Doppler radar array signal processing Maximum likelihood estimation sensor arrays"

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DOA Estimation of Quasi-Stationary signals With a Nested array in Unknown Noise Field 10

DOA Estimation of Quasi-Stationary Signals With a Nested Arr...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Huang, Huiping Liao, Bin Shen, Qiuxiang Shenzhen Univ Coll Informat Engn Shenzhen 518060 Guangdong Peoples R China

ISBN: (纸本)9781538647523

The problem of direction-of-arrival (DOA) estimation of quasi-stationary signals using a nested array in unknown noise field is investigated and two methods based on differencing method and eigenspace are proposed in this paper. Through performing differencing between the virtual received data, the unknown noise component is directly removed from the data model. The resulting data model is then utilized to find out the DOAs of the signals based on the theory of subspace. Thanks to the configuration of the nested array, it can produce large degrees of freedom (DOF) in the virtual sensor array which provides the virtual received data. These increased DOF can contribute enhanced resolution in DOA estimation. Numerical simulations of DOA estimation exhibit the effectiveness and superiority of the proposed methods.

关键词： DOA estimation quasi-stationary signals nested array unknown noise field differencing method

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MIMO Radar And Communications Spectrum Sharing: A Multiple-Access Perspective 10

MIMO Radar And Communications Spectrum Sharing: A Multiple-A...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Rong, Yu Chiriyath, Alex R. Bliss, Daniel W. Arizona State Univ Bliss Lab Informat Signals & Syst Tempe AZ 85287 USA

ISBN: (纸本)9781538647523

In this paper, we investigate the joint multiple-input multiple-output (MIMO) radar and communications system convergence problem and develop a joint radar-communications performance bound using the concept of estimation rate for radar system and data information rate for communications system. At the radar receiver, we propose a Successive Interference Cancellation (SIC) strategy to estimate radar parameters and decode communications signal simultaneously. While, at the MIMO communications transmitter, we propose a spectrum sharing scheme and show that the optimal communications performance can be achieved through a spectral and spatial waterfilling algorithm. In the end, we show that the Multiple-Access (MAC) performance bound outperforms the result from the spectrally isolated MIMO radar-communications system.

关键词： Radar Silicon carbide Estimation MIMO communication Radar signal processing"

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Sine-based EB-ESPRIT for source localization 10

Sine-based EB-ESPRIT for source localization

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Jo, Byeongho Choi, Jung-Woo Korea Adv Inst Sci & Technol Sch Elect Engn Daejeon South Korea

ISBN: (纸本)9781538647523

The eigenbeam-ESPRIT (EB-ESPRIT) is well known as a high-resolution parametric direction-of-arrival (DOA) estimation technique for a spherical microphone array. Unlike other eigenbeam beamformers such as EB-MVDR and EB-MUSIC, there is no need for exhaustive grid-search with EB-ESPRIT. However, when sources are positioned near the equator, the EB-ESPRIT inevitably induces a singularity problem due to the singularity of its tangent function utilized as a directional parameter. Here, a new EB-ESPRIT technique based on a nonsingular directional parameter is proposed. The proposed technique is derived from two sine-based recurrence relations, and hence, can fundamentally avoid the singularity problems and identify more sources than the conventional EB-ESPRIT.

关键词： recurrence relation spherical microphone array EB-ESPRIT singularity

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Online Mutual Coupling Calibration Using a signal Source at Unknown Location 10

Online Mutual Coupling Calibration Using a Signal Source at ...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Wei, Tong Liao, Bin Huang, Huiping Quan, Zhi Shenzhen Univ Coll Informat Engn Shenzhen 518060 Guangdong Peoples R China

ISBN: (纸本)9781538647523

The effect of mutual coupling among the antenna elements will degrade the performance of array signal processing methods, and hence, mutual coupling calibration has attracted many research interests. However, existing approaches to deal with this problem either require the angular information of the calibration source(s) or require computationally expensive procedures to determine the mutual coupling coefficients. To this end, we propose an efficient method to calibrate the mutual coupling with a single source at unknown location. In particular, by exploiting the fact that mutual coupling is inversely related to their separation and is negligible when they are separated by a few wavelengths and the mutual coupling matrix (MCM) of uniform linear array (ULA) can be approximated as a banded symmetric matrix, it is shown that both the signal direction-of-arrival (DOA) and mutual coupling coefficients can be estimated in closed-form without any spectral grid search. Simulation results indicate that the proposed methods is able to provide promising performance compared with existing approaches.

关键词： Mutual coupling Calibration array signal processing Direction-of-arrival estimation Antenna arrays signal to noise ratio sensor arrays"

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The LOCATA Challenge Data Corpus for Acoustic Source Localization and Tracking 10

The LOCATA Challenge Data Corpus for Acoustic Source Localiz...

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10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Loellmann, Heinrich W. Evers, Christine Schmidt, Alexander Mellmann, Heinrich Barfuss, Hendrik Naylor, Patrick A. Kellermann, Walter Friedrich Alexander Univ Erlangen Nurnberg Erlangen Germany Imperial Coll London London England Humboldt Univ Berlin Germany

ISBN: (纸本)9781538647523

Algorithms for acoustic source localization and tracking are essential for a wide range of applications such as personal assistants, smart homes, tele-conferencing systems, hearing aids, or autonomous systems. Numerous algorithms have been proposed for this purpose which, however, are not evaluated and compared against each other by using a common database so far. The ieee-AASP Challenge on sound source localization and tracking (LOCATA) provides a novel, comprehensive data corpus for the objective benchmarking of state-of-the-art algorithms on sound source localization and tracking. The data corpus comprises six tasks ranging from the localization of a single static sound source with a static microphone array to the tracking of multiple moving speakers with a moving microphone array. It contains real-world multichannel audio recordings, obtained by hearing aids, microphones integrated in a robot head, a planar and a spherical microphone array in an enclosed acoustic environment, as well as positional information about the involved arrays and sound sources represented by moving human talkers or static loudspeakers.

关键词： arrays Microphone arrays Task analysis array signal processing Acoustics Databases"

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LINEAR-TIME JOINT PROBABILISTIC DATA ASSOCIATION FOR MULTIPLE EXTENDED OBJECT TRACKING 10

LINEAR-TIME JOINT PROBABILISTIC DATA ASSOCIATION FOR MULTIPL...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Yang, Shishan Thormann, Kolja Baum, Marcus Univ Passau Fac Comp Sci & Math Chair Sensor Technol Passau Germany

ISBN: (纸本)9781538647523

The Joint Probabilistic Data Association (JPDA) filter for multiple object tracking is based on the assumption that at most one measurement originates from a target object. However, with the development of high-resolution sensors, it is often the case that multiple spatially distributed detections are obtained from a single object. To tackle this emerging data association challenge, this paper presents a JPDA method based on the Poisson spatial measurement model for extended objects. As the constraint that one target gets at most one measurement is relaxed, the marginal association probabilities can be obtained with linear complexity in the number of measurements and targets. The proposed method is compared to a partition-based multiple extended object tracking algorithm.

关键词： Shape Object tracking Clutter Target tracking Probabilistic logic Shape measurement Time measurement"

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Interferometric array Design Under Regularized Antenna Placements for Interference Suppression 10

Interferometric Array Design Under Regularized Antenna Place...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Wang, Xiangrong Amin, Moeness Aboutanios, Elias Beihang Univ Sch Elect & Informat Engn Beijing Peoples R China Villanova Univ Ctr Adv Commun Villanova PA 19085 USA Univ New South Wales Sch Elect Engn Sydney NSW Australia

ISBN: (纸本)9781538647523

Interference suppression is an important task in extensive sensor array applications, including large interferometric arrays in radio astronomy. The interferometric array design in terms of maximizing output signal-to-interference-plus-noise ratio (MaxSINR) calls for freely placing antennas on grid points without imposing any regularity conditions on the array structure. The configured sparse array exhibits multiple drawbacks, most notably, uncontrollable beampatterns with high sidelobes. To overcome these shortcomings, we add conventional beampattern sidelobe constraints in the design formulation. The resulting array is referred to as restricted beampattern array configuration (RBAC). Alternatively, we consider a new regularized placement array configuration (RPAC) strategy, where antenna position constraints are imposed as means for sidelobe control. In this case, the antenna selection is performed such that each segment of grid points must include one antenna, preventing very large inter-element spacing. We formulate the new RPAC problem and compare its solution to that of the RBAC.

关键词： Interferometric array Regularized sensor Placement Sidelobe Suppression Beampattern

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