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检索条件"任意字段=4th IEEE Sensor Array and Multichannel Signal Processing Workshop"

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A BLIND array CALIBRATION ALGORIthM USING A MOVING SOURCE

A BLIND ARRAY CALIBRATION ALGORITHM USING A MOVING SOURCE

引用

2008 ieee sensor array and multichannel signal processing workshop

作者： Georgios Efstathopoulos Athanassios Manikas Department of Electrical & Electronic Engineering Imperial College London UK

this paper is concerned with the problem of antenna array calibration in a non-stationary signal environment. In detail, this study focuses on calibration of the antenna array geometry by employing properties of the differential geometry of the array manifold vector. the proposed algorithm is totally blind, since the only available information to the array system is the received signal emitted by a moving source of unknown characteristics. the only assumption made is that the movement of the source has an angular component and that the position of one sensor with regards to the reference point is known. It is shown through Monte Carlo simulations that this method significantly improves the ability of the array system to estimate characteristics of the moving source, such as its direction of arrival (DOA), in addition to reducing the positioning errors of the array elements.

关键词： arrays Calibration Estimation Geometry Music Direction of arrival estimation Manifolds

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Transmitted Beampattern Synthesis with Waveform Diverse arrays Based on Arctangent Function

Transmitted Beampattern Synthesis with Waveform Diverse Arra...

引用

sensor array and multichannel signal processing workshop

作者： Zhonzhan Wang Yaoliang Song Tong Mu School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing China

In this paper, we apply a nonlinear frequency modulation scheme based on arctangent function to waveform diverse array system to design a transmitted beampattern to focus the signal power at a specific position. Distinct from most of the existing methodologies, the proposed method overcomes the problem that the focusing performance of the signal power will decrease when considering the propagation process of the transmitted signal. As a result, the transmitted signal power can be focused at a desired position and be lasting for a period of time. Numerical simulations validate the theoretical analysis of the proposed methodology.

关键词： array signal processing sensor arrays Conferences IP networks

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Preprocessing algorithm for source localisation in a multipath environment

Preprocessing algorithm for source localisation in a multipa...

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sensor array and multichannel signal processing workshop

作者： Evangelos Venieris Athanassios Manikas Department of Electrical and Electronic Engineering Imperial College London London UK

Several methods have been developed which allow the estimation of the location of an existing source with considerable accuracy in the absence of multipaths. However, if, in addition to the Line-of-Sight (LOS) path, non-LOS (NLOS) paths are also present, then all existing localisation algorithms dramatically fail to estimate the location of the source. In this paper, a passive array processing algorithm is proposed, which, if used prior to a localisation approach, suppresses all the multipath contributions in the received signal except for that of the LOS path. the performance of the proposed algorithm is evaluated through computer simulation studies.

关键词： arrays signal processing algorithms Vectors Equations Mathematical model Delays signal processing

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BLIND CHANNEL IDENTIFICATION AND signal RECOVERY BY CONFINING A COMPONENT OF thE OBSERVATIONS INTO A CONVEX-HULL OF MINIMUM VOLUME

BLIND CHANNEL IDENTIFICATION AND SIGNAL RECOVERY BY CONFININ...

引用

2008 ieee sensor array and multichannel signal processing workshop

作者： Sergio Cruces Departmento de Teoría de la Señal y Comunicaciones Escuela de Ingenieros Universidad de Sevilla Seville Spain

this paper addresses the problems of the blind channel identification and signal extraction in a linear mixture of bounded complex sources. We present a blind criterion that solves these two related problems by confining a linear component of the observations into a convex-hull of minimum volume. the proposed criterion has its minima only at identification of the subspace of one of the unmixed components of the observations, allowing, therefore, a robust channel identification and signal recovery.

关键词： Entropy Joints MIMO Random variables Channel estimation signal processing Quadrature amplitude modulation

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Robust Source Counting and Acoustic DOA Estimation using Density-Based Clustering

Robust Source Counting and Acoustic DOA Estimation using Den...

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sensor array and multichannel signal processing workshop

作者： Sina Hafezi Alastair H. Moore Patrick A. Naylor Department of Electrical and Electronic Engineering Imperial College London UK

Direction-of-Arrival (DOA) estimation for multiple simultaneously active acoustic sources without knowledge of the number of sources and the noise level remains a challenging task. A method of source counting for DOA estimation using density-based clustering is proposed. Multiple Density-based Spatial Clustering of Applications with Noise (DBSCAN) with varying noise sensitivity is applied in an evolutionary procedure to obtain weighted centroids. An autonomous DB-SCAN is finally run on the weighted centroids to extract the final DOA estimates. the results using generated and estimated DOAs show that the proposed technique significantly outperforms the conventional histogram peak picking as well as the original DBSCAN and variations of Kmeans with ≤4° DOA estimation accuracy and improves the source counting.

关键词： Direction-of-arrival estimation Estimation Acoustics Reliability array signal processing sensor arrays

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Multidimensional ESPRIT: A coupled canonical polyadic decomposition approach

Multidimensional ESPRIT: A coupled canonical polyadic decomp...

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sensor array and multichannel signal processing workshop

作者： Mikael Sørensen Lieven De Lathauwer Group Science KU Leuven Kulak Kortrijk Belgium

the ESPRIT method is a classical method for one-dimensional harmonic retrieval. During the past two decades it has become apparent that several applications in signal processing correspond to the less studied Multi-dimensional Harmonic Retrieval (MHR) problem. In order to accommodate this demand, we propose an extension of ESPRIT to MHR based on the coupled canonical polyadic decomposition. this leads to a dedicated uniqueness condition and an algebraic framework for MHR.

关键词： Tensile stress Harmonic analysis Vectors Generators Symmetric matrices signal processing algorithms

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Antenna array Based Positional Modulation with a Two-Ray Multi-Path Model

Antenna Array Based Positional Modulation with a Two-Ray Mul...

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sensor array and multichannel signal processing workshop

作者： Bo Zhang Wei Liu Communications Research Group University of Sheffield Sheffield United Kingdom

Traditional directional modulation (DM) designs are based on the assumption that there is no multi-path effect between transmitters and receivers. One problem with these designs is that the resultant systems will be vulnerable to eavesdroppers which are aligned with or very close to the desired directions, as the received modulation pattern at these positions is similar to the given one. To solve the problem, a two-ray multi-path model is studied for positional modulation and the coefficients design problem for a given array geometry and a location-optimised antenna array is solved, where the multipath effect is exploited to generate a given modulation pattern at desired positions, with scrambled values at positions around them.

关键词： Modulation array signal processing Receivers Phased arrays sensor arrays

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array self-calibration using SAGE algorithm

Array self-calibration using SAGE algorithm

引用

sensor array and multichannel signal processing workshop

作者： Pei-Jung Chung Shuang Wan Institute for Digital Communications School of Engineering and Electronics University of Edinburgh UK

the performance of most existing array processing algorithms relies heavily on the precise knowledge of array manifold, which is decided by individual sensor characteristics and array configuration. A major challenge for self-calibration techniques is the increased computational burden due to additional perturbation parameters. In this contribution, a novel procedure for array self-calibration is presented. We apply the well known numerical method, the Space Alternating Generalized EM algorithm (SAGE), to simplify the multi-dimensional search procedure required for finding maximum likelihood (ML) estimates. Simulation shows that the proposed algorithm outperforms existing methods that are based on the small perturbation assumption. Furthermore, the proposed algorithm remain robust in critical scenarios including large sensor position errors and closely located signals.

关键词： arrays Direction of arrival estimation signal to noise ratio Calibration Noise Estimation signal processing algorithms

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On the design of sparse arrays using difference sets

On the design of sparse arrays using difference sets

引用

sensor array and multichannel signal processing workshop

作者： Marco Moebus Abdelhak M. Zoubir Signal Processing Group Technische Universität Darmstadt Darmstadt Germany

We address the problem of sparse planar array design. Based on the theory of minimum redundancy arrays, we recently proposed an iterative algorithm that is capable to design highly thinned arrays with a low side-lobe level while retaining the half-power-beam-width of uniform arrays. In this paper, we analyze the effect of kernel bandwidth and compare the approach to a recent paper by Kopilovich which is based on the family of Hadamard difference sets. the results show that the proposed method achieves similar performance with a substantially lower amount of array elements. Side-Lobe-Levels are comparable to the ones from uniform arrays and only slightly higher than for Hadamard-based arrays.

关键词： Apertures Kernel array signal processing Shape Bandwidth Geometry sensor arrays

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COMPRESSIVE SENSING FOR sensor CALIBRATION

COMPRESSIVE SENSING FOR SENSOR CALIBRATION

引用

2008 ieee sensor array and multichannel signal processing workshop

作者： Volkan Cevher Richard Baraniuk Electrical and Computer Engineering Department Rice University Houston TX USA

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 l{sub}1-norm minimization problem (linear program). Field data results are provided to demonstrate the effectiveness of the approach.

关键词： Direction-of-arrival estimation Microphone arrays sensor networks

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