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LINEAR-TIME JOINT PROBABILISTIC DATA ASSOCIATION FOR MULTIPLE EXTENDED OBJECT TRACKING 10

LINEAR-TIME JOINT PROBABILISTIC DATA ASSOCIATION FOR MULTIPL...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Yang, Shishan Thormann, Kolja Baum, Marcus Univ Passau Fac Comp Sci & Math Chair Sensor Technol Passau Germany

ISBN: (纸本)9781538647523

The Joint Probabilistic Data Association (JPDA) filter for multiple object tracking is based on the assumption that at most one measurement originates from a target object. However, with the development of high-resolution sensors, it is often the case that multiple spatially distributed detections are obtained from a single object. To tackle this emerging data association challenge, this paper presents a JPDA method based on the Poisson spatial measurement model for extended objects. As the constraint that one target gets at most one measurement is relaxed, the marginal association probabilities can be obtained with linear complexity in the number of measurements and targets. The proposed method is compared to a partition-based multiple extended object tracking algorithm.

关键词： Shape Object tracking Clutter Target tracking Probabilistic logic Shape measurement Time measurement"

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Optimum subband filterbank design for radar array signal processing with pulse compression

Optimum subband filterbank design for radar array signal pro...

引用

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

作者： Rabinkin, D Nguyen, T MIT Lincoln Lab Lexington MA 02173 USA

ISBN: (纸本)0780363396

A front-end radar array processing system that operates in the subband domain is considered. It is assumed that pulse compression will be performed on radar return signals in the subband domain. A cohesive algorithm is presented that optimizes the design of all filters used in the subbanding process. These include the analysis filter (used to decompose return signals into narrowband components), the synthesis filter (used when combining subband components after processing), and the pulse compression generating filter (used to generate subband pulse compression filters from a wideband pulse compression filter). The algorithm attempts to minimize system aliasing noise, frequency distortion, and subband processing operations count.

关键词： Algorithm design and analysis array signal processing Design optimization Filter bank Pulse compression methods Pulse generation Radar signal processing signal design signal generators signal processing algorithms

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Nonparametric statistics for DOA estimation in the presence of multipath

Nonparametric statistics for DOA estimation in the presence ...

引用

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

作者： Visuri, S Oja, H Koivunen, V Helsinki Univ Technol Signal Proc Lab FIN-02015 Helsinki Finland

ISBN: (纸本)0780363396

This paper is concerned with array signal processing in non-Gaussian 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.

关键词： array signal processing Covariance matrix Direction of arrival estimation Gaussian noise Maximum likelihood estimation Noise robustness signal processing algorithms signal resolution Spatial resolution Statistics

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Microphone array Beampattern Characterization for Hands-free Speech Applications

Microphone Array Beampattern Characterization for Hands-free...

引用

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

作者： Taghizadeh, Mohammad J. Garner, Philip N. Bourlard, Herve Idiap Res Inst Lausanne Switzerland Idiap Res Inst EPFL Lausanne Switzerland

ISBN: (纸本)9781467310710

Spatial filtering is the fundamental characteristic of microphone array based signal acquisition, which plays an important role in applications such as speech enhancement and distant speech recognition. In the array processing literature, this property is formulated upon beam-pattern steering and it is characterized for narrowband signals. This paper proposes to characterize the microphone array broadband beam-pattern based on the average output of a steered beamformer for a broadband spectrum. Relying on this characterization, we derive the directivity beam-pattern of delay-and-sum and superdirective beamformers for a linear as well as a circular microphone array. We further investigate how the broadband beam-pattern is linked to speech recognition feature extraction;hence, it can be used to evaluate distant speech recognition performance. The proposed theory is demonstrated with experiments on real data recordings.

关键词： Broadband beam-pattern Delay-and-sum beamformer Superdirective beamformer Distant speech recognition

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Angular Information Resolution Limit of sensor arrays

Angular Information Resolution Limit of Sensor Arrays

引用

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

作者： Cheng, Yongqiang Wang, Xuezhi Moran, Bill Natl Univ Def Technol Sch Elect Sci & Engn Beijing Peoples R China Univ Melbourne Melbourne Sch Engn Dept Elect & Elect Engn Melbourne Vic 3010 Australia Univ Melbourne Melbourne Sch Engn Def Sci Inst Melbourne Vic 3010 Australia

ISBN: (纸本)9781479914814

A measure of the ability of a sensor array to resolve two closely spaced point sources in angle is proposed here based on the framework of information geometry. The consideration of the geometric structure of a measurement model leads to the concept of information resolution which serves as a new metric to measure intrinsic similarities and differences between signal distributions that generate the manifold geometry. The statistical divergence between two sources is characterized in terms of the geodesic distance induced by the Fisher information metric. An analytical expression of the angular information resolution limit (AIRL) is derived using the constraints on the probability of error for a binary hypothesis test associated with the resolution of two sources. The influence of the detection error as well as the signal-to-noise ratio (SNR) on resolvability are demonstrated. The proposed AIRL can be used as a performance measure for sensor arrays in localizing remote sources and is applicable to various applications (e.g. radar, sonar, or astronomy).

关键词： Geometry

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A Sparse Regularization Technique for Source Localization with Non-uniform sensor Gain

A Sparse Regularization Technique for Source Localization wi...

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

作者： Weiss, Christian Zoubir, Abdelhak M. Tech Univ Darmstadt Germany Signal Proc Grp D-64283 Darmstadt Germany Grad Sch Computat Engn D-64293 Darmstadt Germany

ISBN: (纸本)9781479914814

A robust sparse regularization technique with applications to source localization in the presence of non-uniform gain distribution is presented. As a key component in sparse optimization, a proper choice of the regularization parameter is crucial. It renders high impact on the localization performance and has to account for any kind of model perturbation. Our proposed technique utilizes a statistical framework to provide a direct relation between the physical system parameters and the regularization parameter of the resulting optimization problem. It addresses the joint effects of sensor gain variations and noise. As a figure of merit, we consider the mean-squared error (MSE) between the perturbed measurements and the assumed underlying model. An upper bound of the MSE is attained in order to estimate the regularization parameter. The presented method shows good performance for moderate gain variances even in low SNR regimes.

关键词： sparse regularization model errors source localization robust model non-uniform sensor gain

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A Variational Bayesian Approach to Direction Finding of Correlated Targets Using Coprime array 11

A Variational Bayesian Approach to Direction Finding of Corr...

引用

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

作者： Yang, Jie Yang, Yixin Northwestern Polytech Univ Sch Marine Sci & Technol Xian 710072 Shaanxi Peoples R China

ISBN: (纸本)9781728119465

In this paper, we develop a sparsity-aware algorithm for direction-of-arrival (DOA) estimation of correlated targets in the context of coprime array processing. The idea is to iteratively interpolate the observed data to a virtual nonuniform linear array (NLA) in order to raise the degrees of freedom (DOF). We derive the estimation procedures using variational inference for fully Bayesian estimation, where the current parameter estimates are used to interpolate the observed data better and thus increase the likelihood of the next parameter estimates. The novelties of our method lies in its capacity of detecting more correlated sources than the number of physical sensors. Simulated data from coprime arrays are used to illustrate the superior performance of the proposed approach as compared with other state-of-the-art compressed sensing reconstruction algorithms.

关键词： Direction-of-arrival (DOA) estimation Coprime array Degrees of freedom (DOF) Variational inference

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A retina-like CMOS sensor and its applications

A retina-like CMOS sensor and its applications

引用

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

作者： Sandini, G Questa, P Scheffer, D Dierickx, B Mannucci, A Univ Genoa LIRA Lab DIST Genoa Italy

ISBN: (纸本)0780363396

This paper describes the implementation in silicon of a retina-like sensor characterized by a space-variant resolution similar to that of the human retina. Besides the actual implementation using CMOS technology, the design peculiarities of retina-like sensors are compared with the use of software or hardware electronic remappers. The paper also describes the realization of a retina-like digital camera and its applications for realtime control and image transmission.

关键词： Application software CMOS image sensors CMOS technology Digital cameras Hardware Humans Retina sensor phenomena and characterization Silicon Space technology

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Advanced Hybrid Beamforming Design for MIMO Systems 10

Advanced Hybrid Beamforming Design for MIMO Systems

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Yang, Bowen Molu, Mehdi M. Zhang, Lei Univ Glasgow Sch Engn Glasgow G12 8QQ Lanark Scotland SCSC Cambridge CB4 0DS England

ISBN: (纸本)9781538647523

One of the fundamental problems for hybrid beamformer design in MIMO systems is that, in Singular-Value-Decomposition (SVD) based beamforming, the analog beamformer is limited to constant modulus. In order to solve this issue, an algorithm is proposed in this paper. Specifically, the parallel data streams are expressed mathematically, and then the math expression of the analog beamformer is achieved through maximizing the power of desired data streams while minimizing the power of interference. Then, the digital part of the beamformer is calculated based on a channel equivalent process, i.e., considering the phase response vector of the derived analog beamformers as part of the channel observed by the digital beamformers. Simulations are performed on the proposed algorithm and compared to a recent state-of-the-art technique. The results show that the proposed one outperforms in terms of sphere of application (i.e., different antenna array sizes and channel sparsities).

关键词： Antenna arrays array signal processing signal processing algorithms Interference Radio frequency Scattering Complexity theory"

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Calibration of Polarimetric Antenna arrays Using Neural Networks 13

Calibration of Polarimetric Antenna Arrays Using Neural Netw...

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13rd ieee sensor array and multichannel signal processing workshop (SAM)

作者： Springer, Jannik Mikus, Philipp Oispuu, Marc Koch, Wolfgang Knott, Peter Fraunhofer Inst Commun Informat Proc & Ergon FKIE Fraunhoferstr 20 D-53343 Wachtberg Germany Fraunhofer Inst High Frequency Phys & Radar Tech Fraunhoferstr 20 D-53343 Wachtberg Germany

ISBN: (纸本)9798350344820;9798350344813

This paper addresses the problem of calibration for antenna arrays with multi-port polarimetric elements. Model-based array signal processing techniques require an accurate model of the complex array response and model errors can, for example, cause significant systematic direction finding errors. Modeling the response of polarimetric antenna arrays can be particularly challenging due to cross-polarization and mutual coupling effects in the multi-port antenna elements. This work proposes a new calibration technique for polarimetric antenna arrays using neural networks that learn any mismatches between the modeled and the actual array response. The technique is evaluated based on the measured response of a five-element dual-polarized antenna array and outperforms conventional calibration techniques like mutual coupling calibration or local polynomial approximation. Its performance is studied exemplarily for the direction finding problem.

关键词： antenna array polarization calibration machine learning neural network direction finding

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