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2006 ieee SAM - Welcome from the General Chairs

2006 IEEE SAM - Welcome from the General Chairs

引用

sensor array and multichannel signal processing workshop

Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.

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来源：评论

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A Synthetic Acoustic Volumetric array

A Synthetic Acoustic Volumetric Array

引用

sensor array and multichannel signal processing workshop

作者： J.M. Rigelsford A. Tennant Department of Electronic & Electrical Engineering University of Sheffield Sheffield UK

This paper presents a novel synthetic aperture method, which can be used to reduce the average sidelobe level of a random spherical volumetric array. The technique exploits a general property of random arrays in which... 详细信息

关键词： Acoustic arrays signal synthesis Radar antennas Acoustic applications Acoustic imaging Microwave imaging Synthetic aperture radar array signal processing Radar signal processing Microphone arrays

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Distributed signal processing in a Bandwidth Constrained sensor Network

Distributed Signal Processing in a Bandwidth Constrained Sen...

引用

sensor array and multichannel signal processing workshop

作者： Zhi-Quan Luo Department of Electrical and Computer Engineering University of Minnesota Minneapolis MN USA

This paper presents a powerpoint presentation that focuses on the distributed signal processing capability of bandwidth constrained sensor networks. A simple (isotropic) universal decentralised estimation scheme (DES) with known PDF are presented for the ad hoc sensor network along with sensor networks with a fusion center. The paper also examines the trade-off of network size and MSE under the bandwidth constraint

关键词： signal processing Intelligent networks Bandwidth sensor fusion Conferences Performance analysis Analytical models

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Discriminating Between Stationary and Time-Varying Autoregressive (TVAR) Models in array processing

Discriminating Between Stationary and Time-Varying Autoregre...

引用

sensor array and multichannel signal processing workshop

作者： Y.I. Abramovich M.D.E. Turley N.K. Spencer Intelligence Surveillance & Reconnaissance Division ISRD 200 Laboratories Defence Science and Technology Organisation Edinburgh SA Australia C/-ISRD 200 Laboratories DSTO Cooperative Research Centre for Sensor Signal and Information Processing Edinburgh SA Australia

For a set of T independent N-variate Gaussian training samples (T < N), we derive a test for discriminating between stationary autoregressive models of order m, AR(m), and time-varying autoregressive models of orde... 详细信息

关键词： array signal processing Covariance matrix Maximum likelihood estimation Testing Intelligent sensors Australia Radar antennas Surveillance Reconnaissance sensor arrays

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A Comparative Performance Investigation of Adaptive Beamformers with Iterative Weight Refinement for GSM signal Detection

A Comparative Performance Investigation of Adaptive Beamform...

引用

sensor array and multichannel signal processing workshop

作者： Myung-Hoon Yeon J.J. Shynk R.P. Gooch Department of Electrical and Computer Engineering University of California Santa Barbara CA USA Applied Signal Technology Inc. Sunnyvale CA USA

In a multiple-access communication system, many users utilize the same spectral bandwidth by transmitting, for example, during assigned time slots using time-division multiple access (TDMA). The users of a cellular system based on TDMA can encounter cochannel interference because carrier frequencies are reused in nearby cells. In this paper, we investigate adaptive beamforming and equalization algorithms for cochannel signal detection in the Global System for Mobile communications (GSM). In particular, we are interested in iterative weight refinement techniques where the beamformer weights are successively adapted using re-encoded TDMA data to improve signal estimation. The data of a GSM channel are processed in two stages that include the following series of steps: frame synchronization, adaptive beamforming, signal detection, adaptive equalization, and soft-input decoding. The algorithms are evaluated using the number of frames passing the parity check as the performance measure for real GSM data collected with an array of antennas

关键词： GSM signal detection Time division multiple access array signal processing Adaptive equalizers Iterative algorithms Bandwidth Interchannel interference Frequency Estimation

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Comparing Multistatic with Monostatic Super-Resolution array processing Techniques: Detection of Random Targets

Comparing Multistatic with Monostatic Super-Resolution Array...

引用

sensor array and multichannel signal processing workshop

作者： Minhtri Ho H. Lev-Ari Department of Electrical and Computer Engineering Northeastern University Boston MA USA

Conventional MUSIC (multiple signal classification) method, which is a well-known super-resolution technique that employs a monostatic configuration, degrades severely when the multiple targets are deterministic because the rank of the covariance matrix collapses to the value of one regardless of the number of targets. FRM (frequency response matrix), with its multistatic configuration, is also a super-resolution technique and can complement MUSIC in the target randomness spectrum. This paper demonstrates that conventional MUSIC performs better for targets with strongly random (complex) amplitudes and FRM performs better for target with weakly random amplitudes (best for deterministic amplitudes)

关键词： array signal processing Multiple signal classification signal resolution Spatial resolution sensor arrays signal processing Covariance matrix sensor fusion Acoustic sensors Degradation

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DoA and Polarization Estimation using Arbitrary Polarimetric array Configurations

DoA and Polarization Estimation using Arbitrary Polarimetric...

引用

sensor array and multichannel signal processing workshop

作者： A. Richter F. Belloni V. Koivunen Signal Processing Laboratory SMARAD CoE Helsinki University of Technology Finland

In this paper we propose an algorithm for angle and polarization estimation of non-coherent sources using real-world polarimetric antenna arrays. In order to construct an accurate model of an antenna array, we exploit its effective aperture distribution function (EADF). This model contains information on the array response for a vertical and horizontal excitation, the directional characteristic of each element, and array imperfections. Here, we propose a method stemming from the RARE (rank-reduction estimator) algorithm. It performs fast (search-free) DoAs and polarization coefficients estimation. Throughout simulation results, we verify that the algorithm has close to optimal statistical performance with polarimetric real-world arrays. We present the statistical performance for three different array configurations

关键词： Direction of arrival estimation Polarization sensor arrays signal processing algorithms Antenna arrays array signal processing Distribution functions sensor phenomena and characterization Goniometers Antenna measurements

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Performance of DCMP Adaptive array Utilizing Aggregated Microphones

Performance of DCMP Adaptive Array Utilizing Aggregated Micr...

引用

sensor array and multichannel signal processing workshop

作者： M. Matsumoto S. Hashimoto Department of Applied Physics Waseda University Tokyo Japan

Recently, the authors proposed a miniaturized microphone array not utilizing the phase difference but utilizing the directivity of each microphone, namely aggregated microphones. We have already showed that the phased microphone array and the aggregated microphones can be described within the same framework. We have also showed that it is possible to apply the aggregated microphones to the various methods of the phased microphone array. However, the difference of the performance between the phased array and the aggregated microphones has not been evaluated yet. The effect of the directivity and the posture of each microphone on the performance of the aggregated microphones has not also been evaluated yet. In this paper, we evaluate the performance of DCMP (directionally constrained minimization of power) adaptive array utilizing aggregated microphones

关键词： Microphone arrays Adaptive arrays Phased arrays Delay estimation Direction of arrival estimation Robots Physics Phase estimation Transfer functions Symbiosis

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Recent Breakthroughs in Phased arrays and Radar

Recent Breakthroughs in Phased Arrays and Radar

引用

sensor array and multichannel signal processing workshop

作者： E. Brookner Raytheon Company Sudbury MA USA

This paper describes some of the recent breakthroughs in phased arrays and radar, including the sea-based X-band (SBX) radar, the 35 GHz active phased array, and the low cost MEMS phased array. It also discusses recen... 详细信息

关键词： Phased arrays Radar sensor arrays Conferences Gas detectors Costs Micromechanical devices Gallium nitride Silicon carbide

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Interference Cancellation using a Single Snapshot

Interference Cancellation using a Single Snapshot

引用

sensor array and multichannel signal processing workshop

作者： H. Belkacemi H. Semira S. Marcos Laboratoire des Signaux et Systémes CNRS/Supélec Gif-sur-Yvette France Electronic and Electrical engineering Department Annaba University Algeria

In this paper, we show that a single snapshot using a uniform linear array can be applied to interferences cancellation problems in spatial array signal processing. In this context, the antenna weight vector is calculated using a projection matrix constructed from a single snapshot instead of using the eigen-decomposition of the sample covariance matrix. The benefits of this method are two-fold; it reduces the computational cost required by the eigen-decomposition and the number of snapshots. We demonstrate the effectiveness of the proposed method through simulations of different scenarios including coherent and uncorrelated interferences

关键词： Interference cancellation sensor arrays array signal processing signal processing algorithms signal to noise ratio Linear antenna arrays Covariance matrix Interference constraints Electrical engineering Vectors

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