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Asilomar Conference on signals, Systems & Computers

作者： S. Anderson Department of Electrical Engineering Linköping University Linkoping Sweden

The computational complexity for direction-of-arrival estimation using sensor arrays increases very rapidly with the number of sensors in the array. One way to lower the amount of computations is to employ some kind of reduction of the data dimension. This is usually accomplished by employing linear transformations for mapping full-dimension data into a lower-dimensional space. In the present work, a transformation matrix is derived, that makes it possible to attain the full-dimension Cramer-Rao bound also in the reduced space. A bound on the dimension of the reduced data set is given, above which it is always possible to obtain the same accuracy for the lower-dimension estimates of the source localizations as that achievable by using the full-dimension data. Furthermore, a method is devised for designing the transformation matrix.< >

关键词： Sensor arrays array signal processing signal processing algorithms Additive noise Direction of arrival estimation Electrostatic precipitators signal design signal to noise ratio Geometry Computational complexity

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Fly-over Measuring of An Aircraft Landing Gear Noise with array signal processing Technology

Fly-over Measuring of An Aircraft Landing Gear Noise with Ar...

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2011 4th IEEE International Conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Chen Tao,Hou Hong,Chen Zhifei College of Marine Engineering Northwestern Polytechnical University Xi’an,China

Two-dimensional mappings of an aircraft landing gear noise was obtained from fly-over measuring by using array signal processing technology,with multi-arms spiral array,the results show:the aircraft landing gear noise is broadband with some single tones,and is concentrated in 1000Hz below,the noise source was analyzed,supporting landing gear noise reducing design.

关键词： array signal processing landing gear noise multi arms spiral array

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Biologically Inspired Methods for array signal processing

Biologically Inspired Methods for Array Signal Processing

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Sensor array and Multichannel signal processing Workshop

作者： L. Perlovsky AFRL

This paper focuses on the various array signal processing methods that have been inspired by biological models. It discusses the long-standing algorithmic challenges and combinatorial complexity as well as the knowledge instinct and dynamic logic of these biologically-inspired methods. It also provides examples of these methods used in GMTI tracking, slow-moving targets in SAR and UAV swarm navigation and fusion

关键词： array signal processing Biomedical signal processing signal processing algorithms Logic arrays Target tracking Unmanned aerial vehicles Navigation

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Antenna array characterisation and signal processing for an FM radio-based passive coherent location radar system

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IET RADAR SONAR AND NAVIGATION 2012年第8期6卷 687-696页

作者： Belfiori, F. Monni, S. van Rossum, W. Hoogeboom, P. Delft Univ Technol NL-2629 CN Delft Netherlands TNO NL-2597 AK The Hague Netherlands

The design of passive coherent location radar, which exploits broadcasting transmitters of opportunity in the very high frequency (VHF) radio bandwidth, is presented. Here, the authors primarily focus on the system set-up and on the digital pre-processing steps. Emphasis is given to the antenna section analysis. The eight-element circular array, which is used for the signal acquisition, is analysed by means of simulations and measurements. Compensation for the mutual coupling effect between the different channels is achieved by applying a technique in the digital domain. An innovative digital beamforming algorithm is introduced to reduce the sidelobe level of the circular array pattern. Direct path interference suppression, range/Doppler data processing, greatest-of constant false alarm rate algorithm and range/Doppler-time plots extraction provide the final output of the processing chain. Experimental validation of the processing architecture is presented and the final detection results are compared with an automatic dependent surveillance broadcast data set.

关键词： radar signal processing greatest-of constant false alarm rate algorithm very high frequency radio bandwidth VHF radio bandwidth radar transmitters passive radar range/Doppler-time plots extraction signal processing and detection Doppler radar Radar equipment, systems and applications antenna array characterisation direct path interference suppression broadcasting transmitters antenna arrays FM radio-based passive coherent location radar system Antenna arrays design array signal processing signal processing radar detection range/Doppler data processing innovative digital beamforming FM radar signal acquisition interference suppression

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Optimal IV-SSF approach to array signal processing in colored noise fields

Optimal IV-SSF approach to array signal processing in colore...

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： P. Stoica M. Viberg M. Wong Q. Wu Department of Applied Electronics Chalmers University of Technology Gothenburg Sweden Department of ECE McMaster University Hamilton ONT Canada

The paper describes and analyses, in a unifying manner, the spatial and temporal IV-SSF (instrumental variable-signal subspace fitting) approaches recently proposed for array signal processing in colored noise fields. We derive a general, optimally-weighted, IV-SSF direction estimator and show that this estimator encompasses the UNCLE estimator of Wong and Wu (see IEEE ***, vol.42, Sept. 1994), which is a spatial IV-SSF method; and the temporal IV-SSF estimator of Viberg, Stoica and Ottersten (see IEEE ***, May 1995). The latter two estimators have seemingly different forms, so their asymptotic equivalence shown in this paper comes as a surprising unifying result.

关键词： array signal processing Colored noise Instruments Sensor arrays Direction of arrival estimation Equations signal analysis signal processing Noise robustness Delay

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Wideband array signal processing using MCMC methods

Wideband array signal processing using MCMC methods

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： W. Ng J.P. Reilly T. Kirubarajan Department of Electrical and Computer Engineering McMaster University Hamilton ONT Canada

This paper proposes a novel wideband structure for array signal processing. The method lends itself well to a Bayesian approach for jointly estimating the model order (number of sources) and the DOA through a reversible jump Markov chain Monte Carlo (MCMC) procedure. The source amplitudes are estimated through a maximum a posteriori (MAP) procedure. Advantages of the proposed method include joint detection of model order and estimation of the DOA parameters, and the fact that meaningful results can be obtained using fewer observations than previous methods. The DOA estimation performance of the proposed method is compared with the theoretical Cramer-Rao lower bound (CRLB) for this problem. Simulation results demonstrate the effectiveness and robustness of the method.

关键词： Wideband array signal processing Direction of arrival estimation Narrowband Sonar detection Delay Biomedical signal processing Radar signal processing Gas detectors Bayesian methods

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Antenna array signal processing with high-resolution by modified beamspace music algorithm

Antenna array signal processing with high-resolution by modi...

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International Conference on Antenna Theory and Techniques

作者： V.I. Vasyiyshyn Kharkov Air Force University Ukraine

This paper addresses the problem of determining the directions-of-arrival (DOA's) of narrow-band emitter signals impinging on an antenna array. A modified beamspace MUSIC algorithm for high-resolution array processing is presented. Simulation results are included to show the improved performance of proposed estimator at threshold signal-to-noise ratio.

关键词： signal processing algorithms Antenna arrays array signal processing Multiple signal classification Direction of arrival estimation Iterative algorithms Narrowband Sensor arrays Directive antennas signal processing

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Phased array signal processing for ultrasonic position measurement using resonant microsensors

Phased array signal processing for ultrasonic position measu...

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Proceedings of the Biannual World Automation Congress

作者： K. Yamashita M. Noda M. Okuyama Kyoto Institute of Technology Japan Osaka University Japan

A simple signal processing method has been proposed for ultrasonic position measurement using resonant microsensors. Micro-fabricated sensors have a high quality factor of mechanical resonance and the high Q-value realizes a high sensitivity, but also causes a long tail of dumping oscillation in a response waveform against a ultrasound pulse. The proposed method reveals pulse arrival points in superposed dumping oscillations by eliminating the long tail. This method has been applied to micro-fabricated resonant sensors with high Q-value and a precise position measurement result is demonstrated.

关键词： Phased arrays array signal processing Position measurement Resonance Microsensors Sensor arrays Mechanical sensors Ultrasonic imaging Q factor Probability distribution

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Narrow band source separation in wide band context applications to array signal processing

Narrow band source separation in wide band context applicati...

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IEEE signal processing Workshop on Higher-Order Statistics

作者： J. Galy C. Adnet E. Chaumette ENSICA Toulouse France Thomson Csf Airsys Bagneux France

Blind source separation is now a well known problem. Various methods have been proposed for instantaneous and convolutive mixtures of sources. Conventional antenna array processing techniques are based on the use of second order statistics but rest on restrictive assumptions. Thus, when a priori informations about the propagation or the geometry of the array are not available, the model can be generalized to a blind sources separation model. It supposes the statistical independence of the sources and their non-gaussianity. In this paper, we focus on the narrow band source separation problem embedded in wide band jammers. We show that the JADE algorithm made for instantaneous mixture is still valid in a wide band context where only the signals of interest are narrow-band. We also prove that a wide band signal tends to occupy all the degrees of freedom of the covariance matrix and modifies the signal subspace dimension.

关键词： Narrowband Source separation Wideband Solid modeling Blind source separation Antennas and propagation array signal processing Statistics Information geometry Jamming

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Fast-convergence algorithm for ICA-based blind source separation using array signal processing

Fast-convergence algorithm for ICA-based blind source separa...

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IEEE Workshop on Applications of signal processing to Audio and Acoustics

作者： H. Saruwatari T. Kawamura K. Shikano Graduate School of Information Science Nara Institute of Science and Technology Ikoma Nara Japan

We propose a new algorithm for blind source separation (BSS), in which independent component analysis (ICA) and beamforming are combined to resolve the low-convergence problem through optimization in ICA. The proposed method consists of the following two parts: frequency-domain ICA with direction-of-arrival (DOA) estimation, and null beamforming based on the estimated DOA. The alternation of learning between ICA and beamforming can realize fast- and high-convergence optimization. The results of the signal separation experiments reveal that the signal separation performance of the proposed algorithm is superior to that of the conventional ICA-based BSS method.

关键词： signal processing algorithms Blind source separation array signal processing Source separation Independent component analysis Direction of arrival estimation Frequency domain analysis Frequency estimation Microphone arrays Discrete Fourier transforms

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