Search results for "direction of arrival"

showing 6 items of 6 documents

Nonparametric statistics for DOA estimation in the presence of multipath

2002

This paper is concerned with array signal processing in nonGaussian noise and in the presence of multipath. Robust and fully nonparametric high resolution algorithms for direction of arrival (DOA) estimation are presented. The algorithms are based on multivariate spatial sign and rank concepts. Spatial smoothing of the multivariate rank and sign based covariance matrices is employed as a preprocessing step in order to deal with coherent sources. The performance of the algorithms is studied using simulations. The results show that almost optimal performance is obtained in wide variety of different noise conditions.

Signal processingRank (linear algebra)business.industryNoise (signal processing)Nonparametric statisticsDirection of arrivalPattern recognitionArtificial intelligenceCovariancebusinessSmoothingMultipath propagationMathematicsProceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop. SAM 2000 (Cat. No.00EX410)
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Robust subspace DOA estimation for wireless communications

2002

This paper is concerned with array signal processing in non-Gaussian noise typical in urban and indoor radio channels. Robust and fully nonparametric high resolution algorithms for direction of arrival (DOA) estimation are presented. The algorithms are based on multivariate spatial sign and rank concepts. The performance of the algorithms is studied using simulations. The results show that almost optimal performance is obtained in wide variety of noise conditions.

Signal processingbusiness.industryNoise (signal processing)Covariance matrixElectronic engineeringNonparametric statisticsWirelessDirection of arrivalbusinessAlgorithmSubspace topologyMathematicsMatrix decompositionVTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026)
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Automatic Acoustic Target Detecting and Tracking on the Azimuth Recording Diagram with Image Processing Methods

2019

International audience; Passive acoustic target detection has been a hot research topic for a few decades. Azimuth recording diagram is one of the most promising techniques to estimate the arrival direction of the interested signal by visualizing the sound wave information. However, this method is challenged by the random ambient noise, resulting in low reliability and short effective distance. This paper presents a real-time postprocessing framework for passive acoustic target detection modalities by using a sonar array, in which image processing methods are used to automate the target detecting and tracking on the azimuth recording diagram. The simulation results demonstrate that the prop…

0209 industrial biotechnologytarget detectingComputer scienceprincipal component analysisAmbient noise levelImage processing02 engineering and technologypassive detectionTracking (particle physics)01 natural sciencesBiochemistrySonarSignaldirection of arrivalArticleAnalytical Chemistry[SPI]Engineering Sciences [physics]020901 industrial engineering & automation[CHIM]Chemical SciencesComputer visionElectrical and Electronic EngineeringInstrumentationSound wave0105 earth and related environmental sciencestemplate matching010505 oceanographybusiness.industryTemplate matchingDirection of arrivalAtomic and Molecular Physics and Opticsimage processing[SPI.TRON]Engineering Sciences [physics]/ElectronicsAzimuthArtificial intelligencebusinesstarget tracking
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A Bayesian direction-of-arrival model for an undetermined number of sources using a two-microphone array.

2014

Sound source localization using a two-microphone array is an active area of research, with considerable potential for use with video conferencing, mobile devices, and robotics. Based on the observed time-differences of arrival between sound signals, a probability distribution of the location of the sources is considered to estimate the actual source positions. However, these algorithms assume a given number of sound sources. This paper describes an updated research account on the solution presented in Escolano et al. [J. Acoust. Am. Soc. 132(3), 1257-1260 (2012)], where nested sampling is used to explore a probability distribution of the source position using a Laplacian mixture model, whic…

Microphone arrayAcoustics and UltrasonicsComputer scienceAcousticsBayesian probabilityDirection of arrivalSampling (statistics)DOAAcoustic source localizationMicrophone arraySpeech processingMixture modelBayesianSound source localizationArts and Humanities (miscellaneous)TEORIA DE LA SEÑAL Y COMUNICACIONESProbability distributionAlgorithmNested sampling algorithmThe Journal of the Acoustical Society of America
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Automatic Detection and Characterization of Acoustic Plane-Wave Reflections Using Circular Microphone Arrays

2013

The spatial characteristics of the sound field inside a room can be meaningfully described by means of microphone array processing techniques. In this context, the set of impulse responses sampled by a microphone array can be seen as an image made of acoustic plane-wave footprints. Due to the circular geometry of the microphone array, these footprints have a cosine-like shape that can be fully described as a function of the direction of arrival (DOA) of the impinging plane wave. This paper proposes a Hough-transform-based approach to plane-wave detection in microphone array multi-trace impulse responses. Experiments using a set of real microphone recordings are described, showing the potent…

Microphone arrayMicrophoneComputer scienceSpeech recognitionAcousticsPlane waveDirection of arrivalImpulse (physics)Hough transformlaw.inventionComputer Science::SoundlawNoise-canceling microphoneMicrophone array processing
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Fast Channel Estimation in the Transformed Spatial Domain for Analog Millimeter Wave Systems

2021

Fast channel estimation in millimeter-wave (mmWave) systems is a fundamental enabler of high-gain beamforming, which boosts coverage and capacity. The channel estimation stage typically involves an initial beam training process where a subset of the possible beam directions at the transmitter and receiver is scanned along a predefined codebook. Unfortunately, the high number of transmit and receive antennas deployed in mmWave systems increase the complexity of the beam selection and channel estimation tasks. In this work, we tackle the channel estimation problem in analog systems from a different perspective than used by previous works. In particular, we propose to move the channel estimati…

Signal Processing (eess.SP)FOS: Computer and information sciencesBeamformingComputational complexity theoryComputer scienceComputer Science - Information TheoryInformation Theory (cs.IT)Applied MathematicsTransmitterCodebookDirection of arrivalComputer Science ApplicationsTelecomunicaciósymbols.namesakeAdditive white Gaussian noiseTecnologiaRobustness (computer science)FOS: Electrical engineering electronic engineering information engineeringsymbolsElectrical Engineering and Systems Science - Signal ProcessingElectrical and Electronic EngineeringAlgorithmComputer Science::Information TheoryCommunication channelIEEE Transactions on Wireless Communications
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