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

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On performance study of blind identification of a multipath channel

On performance study of blind identification of a multipath ...

引用

1st ieee sensor array and multichannel signal processing workshop (SAM 2000)

作者： Desmézières, A Costa, P Larzabal, P ENS LESiR URA CNRS F-94235 Cachan France

ISBN: (纸本)0780363396

This work presents a general framework for identification of multipath channel. Connexion between different methods are established, allowing comparison of performances. Several blind identification algorithms are;proposed depending of the temporal correlation of the fadings. Moreover we have proposed an approximate ML method which is low computationaly cost and quasi optimal.

关键词： Antenna arrays Antennas and propagation Computational efficiency Cost function Fading Multipath channels Parameter estimation Phase estimation Phased arrays sensor arrays

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Optimal Precoding Design for Decentralized Detection of Deterministic signals

Optimal Precoding Design for Decentralized Detection of Dete...

引用

ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Fang, Jun Li, Hongbin Chen, Zhi Li, Shaoqian Univ Elect Sci & Technol China Natl Key Lab Commun Chengdu 610054 Peoples R China Stevens Inst Technol Dept Elect & Comp Engn Hoboken NJ 07030 USA

ISBN: (纸本)9781467310710

We consider a decentralized detection problem in a power-constrained wireless sensor networks (WSNs), in which a number of sensor nodes collaborate to detect the presence of a deterministic vector signal. The signal to be detected is assumed known a priori. Each sensor conducts a local linear processing to convert its observations into one or multiple messages. The messages are conveyed to the fusion center (FC) by an uncoded amplify-and-forward scheme, where a global decision is made. Given a total network transmit power constraint, we investigate the optimal linear processing strategy for each sensor. Our study finds that the optimal linear precoder has the form of a matched filter. Depending on the channel characteristics, one or multiple versions of the filtered/compressed message should be reported to the FC.

关键词： Decentralized detection precoding design wireless sensor networks

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Sparse-signal processing on information-based range grid

Sparse-signal processing on information-based range grid

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： de Jong, Edwin Pribic, Radmila Univ Groningen Dept Appl Phys NL-9700 AB Groningen Netherlands Thales Nederland Delft Sensors Adv Dev Delft Netherlands

ISBN: (纸本)9781479914814

Radar obtains its parameters on an estimation grid whose cell size is related to resolution of underlying radar processing. Existing radar exploits a regular grid (i.e. constant resolution) although the resolution changes with stronger echoes at shorter ranges. We compute radar resolution from the intrinsic geometrical structure of data models that is characterized by the Fisher information. Based on this information-geometry approach, we create an estimation grid whose cells have a constant information distance. In addition, we explore how such an irregular estimation grid can suit radar processing in practice, and propose applying the information-based grid with the sparse-signal processing from compressive sensing. This novel radar processing is applied in an one-dimensional case of range estimation, with emphasis on the grid effects to the sensing incoherence. Results reveal the new flexibility in radar design.

关键词： sparse signals compressive sensing information geometry Fisher information distance radar resolution

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Network Design Via Modular Set Function Optimization in Localization Problems

Network Design Via Modular Set Function Optimization in Loca...

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Shames, Iman Summers, Tyler Univ Melbourne Dept Elect & Elect Engn Parkville Vic 3052 Australia ETH Automat Control Lab Zurich Switzerland

ISBN: (纸本)9781479914814

We consider the problem of selecting anchors for sensor network localization to optimize a metric of the error covariance of the position estimates. We show that an interesting metric is a modular set function, which allows a globally optimal selection to be obtained using a simple greedy algorithm. We also consider a separate but related problem of choosing a subset of distance measurements between pairs of sensors to optimize a metric of the error covariance. We utilize again modularity properties of an associated set function to construct networks with desirable algebraic rigidity properties. The results are illustrated via numerical examples, which scale to problems beyond the capabilities of current state-of-the-art convex relaxation techniques.

关键词： Network design Modularity greedy algorithm Metric Metronidazole sensor networks Set (Psychology) Covariance Relaxation Techniques

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Application of 2D-direction locked loop tracking algorithm to mobile satellite communications

Application of 2D-direction locked loop tracking algorithm t...

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4th ieee sensor array and multichannel signal processing workshop

作者： Gieron, Roman Siatchoua, Patrice IMST GmbH Carl Friedrich Gauss Str 2 D-47475 Kamp Lintfort Germany

ISBN: (纸本)1424403081

Mobile satellite terminals especially with high-gain antenna require fast and accurate beam tracking algorithms for communication. The main topic of this paper is the extension of a tracking algorithm to mobile satellite communications, its implementation and performance. The presented considerations and simulation results concern low SNR condition and narrow antenna beam configuration as existing in satellite communications. The assumed satellite is geostationary. The work is presented in context of SANTANA-2 project, (Smart Antenna Terminal), founded and supported by the German DLR on behalf of BMBF. The realized terminal uses an antenna array in Ka-band and fully implements Digital BeamForming (DBF) to control the beam pointing direction and the antenna beam shape.

关键词： tracking algorithm antenna array array signal processing mobile satellite communications digital beamforming Ka-band

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Target Detection Based on Canonical Correlation Technique for Large array MIMO Radar in Spatially Correlated Noise 11

Target Detection Based on Canonical Correlation Technique fo...

引用

ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Zhou, Meihan Jiang, Hong Dong, Siyan Jilin Univ Coll Commun Engn Changchun 130012 Peoples R China

ISBN: (纸本)9781728119465

A novel target detection algorithm for large array multi-input multi-output (MIMO) radar in spatially correlated noise is proposed in this paper using canonical correlation technique (CCT). In the signal model, two separate sub-arrays are employed as the receive array of a transmit diversity MIMO radar system. Assume that the elementary noise in each sub-array has spatial correlation, and the number of receive elements is large and grows as the same rate with the snapshots. The detection statistics is constructed based on the generalized likelihood ratio test (GLRT) criterion and the sample canonical correlation coefficient between the two sub-arrays. The expression of decision threshold is derived via the Tracy-Widom distribution of order 2 in random matrix theory. The simulation results show that the detection performance of the proposed algorithm is better than that of the conventional condition number (CN)-based algorithm in the presence of spatially correlated noise and large array.

关键词： MIMO radar target detection canonical correlation spatially correlated noise random matrix theory

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Robust signal Detection by Using The EEF

Robust Signal Detection by Using The EEF

引用

ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Kay, Steven Ding, Quan Rangaswamy, Muralidhar Univ Rhode Isl Dept Elect Comp & Biomed Engn Kingston RI 02881 USA Wright Patterson AFB US Air Force Res Lab Columbus OH USA

ISBN: (纸本)9781467310710

In detection theory, the optimal Neyman-Pearson rule applies when the characteristics of the signal and the noise are completely known. However, in many practical scenarios such as multipath or moving targets, only partial knowledge of the signal can be obtained. In this paper, we examine the case when the alternative hypothesis has multiple candidate models, and apply the multimodal sensor integration technique based on the exponentially embedded family to detection. It is shown that our method is asymptotically optimal as it converges to the true underlying model. Furthermore, this method is computationally efficient. We also compare the proposed method with existing classifier combining rules by simulations.

关键词： Detection exponentially embedded family multimodal sensor integration robustness

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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...

引用

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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Statistical Angular Resolution Limit for array Radar with Ultrawideband Stochastic signals

Statistical Angular Resolution Limit for Array Radar with Ul...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Zhou, Xiaoli Wang, Hongqiang Cheng, Yongqiang Qin, Yuliang Chen, Haowen Sun, Bin Natl Univ Def Technol Sch Elect Sci & Engn Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9781479914814

The 2-D angular resolution limit for array radar with ultrawideband (UWB) stochastic signals based on the statistical resolution theory is presented in this paper. The signal model of monostatic array radar with circular array configuration and UWB stochastic signals is established, while the resolution of two closely spaced targets is modelled as a binary hypothesis test. The statistical angular resolution limit (SARL) for array radar with UWB stochastic signals is derived based on the generalized likelihood ratio test (GLRT) with given probabilities of false alarm and detection. The effects of detection parameters, transmit waveforms, array geometry, signal-to-noise ratio and parameters of target on SARL are analysed. Compared with the conventional resolution defined by ambiguity function, the SARL reflects the practical resolution ability of radar and can provide an optimization criterion for radar system design.

关键词： array radar Ultra wideband technologies ANGULAR RESOLUTION resolution limit optimal criterion signals Resolving power Stochastic False alarms

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