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Recursion subspace-based method for bearing estimation

Recursion subspace-based method for bearing estimation

引用

3rd International workshop on signal Design and Its Applications in Communications (IWSDA 07)

作者： Huang, Lei Li, Xia Cai, Liangwei Wu, Shunjun Shenzhen Univ Coll Informat Engn Shenzhen 518060 Guangdong Peoples R China Xidian Univ Nat Lab Radar Signal Processing Xian 710071 Peoples R China

ISBN: (纸本)9781424410736

In this paper, a recursion subspace-based method (RSM) is presented to estimate the bearings of incident signals impinging on a uniform linear array (ULA). Unlike the existing linear operation based methods, such as the signal subspace method without eigendecomposition (SUMWE) of Xin et al, that calculate the noise subspace, the RSM method finds a cleaner signal subspace by means of a successive recursion procedure. Thus, the RSM method has the advantages of computational simplicity and accurate estimation, in particular for a large array. Numerical results are presented to compare the performance the RSM method with that of the SUMWE methods.

关键词： sensor array signal processing bearing estimation forward/backward spatial smoothing (FBSS)

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Robust Semiparametric Amplitude Estimation of Sinusoidal signals: The Multi-sensor Case

Robust Semiparametric Amplitude Estimation of Sinusoidal Sig...

引用

3rd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Muma, Michael Hammes, Ulrich Zoubir, Abdelhak M. Tech Univ Darmstadt Signal Proc Grp D-64283 Darmstadt Germany

ISBN: (纸本)9781424451807

The problem of robust estimation of the complex amplitudes of sinusoidal signals using multiple sensors, in an unknown heavy-tailed, spatially and temporally i.i.d. noise environement is considered. A semiparametric approach for this case is presented, where non-parametric estimation of the noise density is succeeded by maximum likelihood estimation incorporating the estimated density. The suggested approach adapts to the sensor measurements using a compact, and conceptually simple non-parametric transformation density estimation. Simulation results are provided, which illustrate the improvement of the presented approach over classical robust or non-robust estimation procedures, e.g. Huber's minimax estimator or the least-squares estimator.

关键词： Maximum likelihood estimation

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Optimum probing for downlink vector channel estimation 3

Optimum probing for downlink vector channel estimation

引用

3rd ieee International Symposium on signal processing and Information Technology

作者： Biguesh, M Gershman, AB Univ Duisburg Gesamthsch Dept Commun Syst D-47057 Duisburg Germany

This paper studies the performance of the vector channel probing method with feedback. The least squares (I-S), minimum mean square error (MMSE), and a new scaled LS (SLS) approaches to the channel estimation are stud... 详细信息

ISBN: (纸本)0780382927

关键词： array signal processing Channel estimation Covariance matrix Downlink Feedback Feeds Laser sintering Least squares approximation Power engineering and energy sensor arrays

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3D electromagnetic imaging using compressive sensing

3D electromagnetic imaging using compressive sensing

引用

ieee sensor array and multichannel signal processing workshop

作者： Nikolic, Marija Tang, Gongguo Nehorai, Arye Department of Electrical and Systems Engineering Washington University in St. Louis St. Louis MO 63130-1127 United States

ISBN: (纸本)9781424489770

We develop the application of compressive sensing (CS) for solving general inverse electromagnetic problems such as three-dimensional (3D) microwave imaging. The goal is to estimate locations of unknown, but sparse targets, hidden inside dielectric bodies. The potential of CS for localizing sparse targets in vacuum or buried in ground was shown in previous work. We extend the proposed schemes by considering arbitrary embedding medium and exploiting dual-polarized measurements. We compare the performance of CS and beamforming in the breast-cancer estimation problem. © 2010 ieee.

关键词： Compressed sensing

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Compressive sensing in time reversal radars: Incoherency analysis

Compressive sensing in time reversal radars: Incoherency ana...

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2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Sajjadieh, Mohammad Asif, Amir Electrical Engineering and Computer Science York University TorontoONM3J 1P3 Canada Electrical and Computer Engineering Concordia University MontrealQCH3J 1P8 Canada

ISBN: (纸本)9781509021031

In array processing, compressive sensing (CS) has recently emerged as a new sampling paradigm for estimating the direction-of-arrival (DOA) from a relatively small number of observations. The paper derives an analytical expression for the mutual coherence of the CS dictionary for a single-input, multiple output (SIMO) radar to advocate the consideration of incoherency issues by researchers exploring potential gains with CS. We couple time reversal (TR) with the Cs/SIMO radar to illustrate a possible increase in the incoherency of the CS dictionary with time reversal. © 2016 ieee.

关键词： Direction of arrival

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Joint estimation of target number and DOA using reversible jump MCMC in sea clutter

Joint estimation of target number and DOA using reversible j...

引用

ieee sensor array and multichannel signal processing workshop, SAME 2002

作者： Lu, Xiaoli Kirlin, R. Lynn Wang, Jian Department of Electrical and Computer Engineering University of Victoria P.O.Box 3055 VictoriaBCV8W3P6 Canada

ISBN: (纸本)0780375513

In this paper we address the problem of detection of a small target in high frequency ocean surveillance radar using the method of Reversible Jump Monte Carlo Markov Chain. The number and the directions of arrival of targets are estimated simultaneously. However, the existence of sea clutter makes the traditional RJMCMC inefficient, and an adaptive preprocessing is preferred in combination with the original RJMCMC to achieve better detection. The performance of the proposed method is analyzed through several experiments with real data. © 2002 ieee.

关键词： Direction of arrival

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2020 ieee 11th sensor array and multichannel signal processing workshop, SAM 2020

2020 IEEE 11th Sensor Array and Multichannel Signal Processi...

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11th ieee sensor array and multichannel signal processing workshop, SAM 2020

ISBN: (纸本)9781728119465

The proceedings contain 162 papers. The topics discussed include: 2D DOA estimation for uniform rectangular array with one-bit measurement;3D parametric channel estimation for multi-user massive-MIMO OFDM systems;a blind direction of arrival and mutual coupling estimation scheme for nested array;a compressive sensing approach for single-snapshot adaptive beamforming;a general ESPRIT method for noncircularity-based incoherently distributed sources;a general framework for the robustness of structured difference coarrays to element failures;a gridless method for DOA estimation under the coexistence of mutual coupling and unknown nonuniform noise;a gridless wideband doa estimation based on atomic norm minimization;a new hyperspectral compressed sensing method for efficient satellite communications;a note on the maximum number of sources in DOA estimation by mode;and a novel NLOS target localization method with a synthetic bistatic MMW radar.

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Pareto-Optimal Beamforming for the MISO Interference Channel With Partial CSI

Pareto-Optimal Beamforming for the MISO Interference Channel...

引用

3rd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Karipidis, Eleftherios Gruendinger, Andreas Lindblom, Johannes Larsson, Erik G. Linkoping Univ Commun Syst Div Dept Elect Engn ISY SE-58183 Linkoping Sweden Tech Univ Munich Assoc Inst Signal Processing Dept Elect Engn & Informat Technol D-80290 Munich Germany

ISBN: (纸本)9781424451791

We consider the problem of finding Pareto-optimal (PO) operating points for the multiple-input single-output (MISO) interference channel when the transmitters have statistical (covariance) channel knowledge. We devise a computationally efficient algorithm, based on semidefinite relaxation, to compute the PO rates and the enabling beamforming vectors. We illustrate the effectiveness of our algorithm by a numerical example.

关键词： Beamforming

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Phaseforming: A suitable representation of array gain in broadband multicarrier transmissions

Phaseforming: A suitable representation of array gain in bro...

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2004 sensor array and multichannel signal processing workshop

作者： Raos, Ivana Zazo, Santiago ETS Ingenieros de Telecomunicación C-303 Universidad Politécnica de Madrid Ciudad Universitaria S/n Madrid 28040 Spain

ISBN: (纸本)0780385454

Standard beamforming designs are typically based on narrowband transmissions and narrow angle spread scenarios. In this situation, pointing a narrow beam towards the main reflector is a suitable strategy for transmit beamforming in order to minimize interuser interference while a wider beam should be introduced in receiving applications in order to increase signal to Noise Ratio (SNR). In both cases, design is based on beamformer concepts where distribution of array gain for different angles is a good description. However, in MultiCarrier (MC) transmissions through wide angle spread channels, phase shift between different antennas for all the carriers provide a more suitable description for the array gain concept. In this paper we will describe this procedure for MC-CDMA as a candidate for B3G (Beyond 3G) mobile application analysing different alternatives if Channel State Information (CSI) is assumed or partial CSI has to be considered. © 2004 ieee.

关键词： signal processing

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Hybrid Probabilistic Data Association and Variational Filtering for Multi-Target Tracking in Wireless sensor Networks

Hybrid Probabilistic Data Association and Variational Filter...

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3rd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Teng, Jing Snoussi, Hichem Richard, Cedric Zhou, Yi ICD/LM2S University of Technology of Troyes 10000 12 rue Marie Curie France

ISBN: (纸本)9781424451807

A hybrid signal processing scheme is proposed for distributed multi-target tracking (MTT). For the sake of resource efficiency in a wireless sensor network (WSN), we reduce the problem to parallel cluster-based single target tracking when the targets are far apart, and switch to MTT only when data association becomes ambiguous. A sequential monte carlo method is employed to assign the ambiguous observations to specific targets or clutter, based on association probabilities. Whereas the rest observations are incorporated by the variational filter, which approximates the distribution of involved particles by a simple Gaussian distribution for each target. The natural and adaptive message compression dramatically reduces the resource consumption of the WSN. The low computation complexity also guarantees the one-line execution of the hybrid MTT scheme. In addition, experimental results prove that the proposed scheme succeeds in distinguishing and tracking multiple targets even during the occlusions.

关键词： Wireless sensor networks

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