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

共 931 条记录，以下是91-100 订阅

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Scalable Algorithm for Polarization Constrained Sparse Interferometric Stokes Imaging 10

Scalable Algorithm for Polarization Constrained Sparse Inter...

引用

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

作者： Birdi, Jasleen Repetti, Audrey Wiaux, Yves Heriot Watt Univ Inst Sensors Signals & Syst Edinburgh EH14 4AS Midlothian Scotland

ISBN: (纸本)9781538647523

Polarized emissions from various astrophysical sources provide an additional means to infer the properties of the source. this information can be extracted by imaging the Stokes parameters characterizing these emissions, from the incomplete Fourier sampling measurements provided by the radio interferometer. To solve the corresponding ill-posed inverse problem, we recently proposed the Polarized SARA method which exploits the polarization constraint along with imposing an average sparsity prior for each of the Stokes parameters, encompassed in a reweighting approach. Motivated by the large amounts of data produced by the next-generation radio interferometers, in the current work, we propose a scalable version of this method, combined with an accelerating strategy. We showcase the performance of this improved method on a real dataset acquired by the Very Large array (VLA).

关键词： Imaging signal processing algorithms Stokes parameters Antenna measurements Radio interferometry Image reconstruction array signal processing"

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Improved 2-D Root MUSIC for non-circular signals

Improved 2-D Root MUSIC for non-circular signals

引用

4th ieee sensor array and multichannel signal processing workshop

作者： Salameh, Amjad Tayem, Nizar Kwon, Hyuck M. Florida Atlantic Univ Dept Elect Engn Boca Raton FL 33431 USA W Virginia Univ Inst Technol Dept Elect Engn Montgomery AL 25136 USA Wichita State Univ Dept ECE Wichita KS 67260 USA

ISBN: (纸本)1424403081

this paper proposes an improved two-dimensional (2-D) Root MUSIC algorithm for non-circular sources. the proposed method has many advantages over conventional Root MUSIC algorithms. First, it requires no pair matching between the azimuth and elevation angle estimation, whereas conventional 2-D Root MUSIC algorithms require an exhaustive pair-matching search. Second, the proposed algorithm shows no estimation failure when the elevation angles are between 70 and 90 degrees, whereas the conventional 2-D Root MUSIC algorithms fail. third, the proposed algorithm can estimate the direction of arrival angles (DOAs) of coherent sources, whereas the conventional 2-D Root MUSIC algorithms cannot. Fourth, the algorithm does not require any forward/backward spatial smoothing, whereas the conventional 2-D MUSIC algorithms do. Hence, the proposed algorithm can reduce the computational load significantly and can be applied to faster real-time radar/sonar and commercial wireless systems. In addition to these advantages, the simulation results show that the proposed algorithm outperforms the conventional Root MUSIC algorithms by a 7 dB gain in signal-to-noise ratio (SNR) to achieve the same root mean square error (RMSE) performance.

关键词： antenna arrays array signal processing Root MUSIC coherent sources Toeplitz

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Impact of Space-Time Covariance Estimation Errors on a Parahermitian Matrix EVD 10

Impact of Space-Time Covariance Estimation Errors on a Parah...

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

作者： Delaosa, Connor Coutts, Fraser K. Pestana, Jennifer Weiss, Stephan Univ Strathclyde Dept EEE Glasgow Lanark Scotland Univ Strathclyde Dept Maths & Stats Glasgow Lanark Scotland

ISBN: (纸本)9781538647523

this paper studies the impact of estimation errors in the sample space-time covariance matrix on its parahermitian matrix eigenvalue decomposition. We provide theoretical bounds for the perturbation of the ground-truth eigenvalues and of the subspaces of their corresponding eigenvectors. We show that for the eigenvalues, the perturbation depends on the norm of the estimation error in the space-time covariance matrix, while the perturbation of eigenvector subspaces can additionally be influenced by the distance between the eigenvalues. We confirm these theoretical results by simulations.

关键词： broadband array processing space-time covariance estimation parahermitian matrix eigenvalue decomposition

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A Note on the Maximum Number of Sources in DOA Estimation by MODE 11

A Note on The Maximum Number of Sources in DOA Estimation by...

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

作者： Hamada, Shohei Ichige, Koichi Yokohama Natl Univ Dept Elect & Comp Engn Hodoga Ku 79-5 Tokiwadai Yokohama Kanagawa 2408501 Japan

ISBN: (纸本)9781728119465

this paper discusses the maximum number of sources when their direction of arrivals (DOAs) are estimated by the method of direction estimation (MODE), and presents a modified version of MODE that can estimate more number of sources than that by the original MODE. It is well-known that M-element array can basically estimate up to (M - 1) DOAs, however the application of MODE may reduce up to M/2 DOAs because of its computation procedure. We propose a novel DOA estimation method by modifying MODE to employ peak-search of the primary eigenvector beam patterns instead of the null-search in the original MODE. Performance of the proposed method is evaluated through computer simulation.

关键词： direction of arrival estimation MODE array signal processing number of sources

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Random Switch Antenna array FMCW Radar and Its signal processing Method

Random Switch Antenna Array FMCW Radar and Its Signal Proces...

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

作者： Hu, Chenxi Meng, Huadong Wang, Wei Li, Gang Wang, Xiqin Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Xian Elect Engn Res Inst Xian Peoples R China

ISBN: (纸本)9781467310710

In this paper, random switch antenna array (RSAA) is proposed to apply to the switch antenna array (SAA) frequency-modulated continuous-wave (FMCW) radar system. Firstly, the signal model and signal processing method of RSAA is analyzed and it shows that RSAA can successfully solve azimuth-velocity coupling problem. then we suppose a method by using RSAA to reduce the switching frequency and sampling rate based on sparse signal representation with multiple measurement vectors (MMV). It is shown in simulations that the proposed algorithms yield better performance in terms of azimuth-velocity decoupling and can obtain high image accuracy with less observation data.

关键词： FMCW Radar Time-division multiplexing antenna array RSAA Azimuth-velocity coupling M-FOCUSS

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AN ALTERNATING MINIMIZATION APPROACH TO OPTIMIZING SUBarray CONFIGURATION FOR A LARGE PHASED array 10

AN ALTERNATING MINIMIZATION APPROACH TO OPTIMIZING SUBARRAY ...

引用

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

作者： Pu, Wenqiang Yu, Yong Yu, Shuhua Luo, Zhi-Quan Xidian Univ Natl Lab Radar Signal Proc Xian Shaanxi Peoples R China China Elect Technol Grp Corp Beijing Peoples R China Chinese Univ Hong Kong Shenzhen Res Inst Big Data Shenzhen Peoples R China

ISBN: (纸本)9781538647523

A large size phased array is a powerful system for surveillance, but must be appropriately decomposed as subarrays for efficient digital beamforming. One fundamental question is how to configure a large array as subarrays to satisfy various signal processing requirements. this work deals with two basic signal processing tasks, synthesizing multiple beams at subarray level and adaptively suppressing multiple interferences. Two optimization criteria to jointly design subarray configuration and digital weights for subarrays are proposed. To handle the large number of variables in the optimization formulations, we propose an alternating minimization approach with low computation cost. Numerical simulations are presented to demonstrate the effectiveness of the proposed algorithm.

关键词： Phased array subarray beamforming alternating optimization

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Beamformer Bank Optimization for True Time Delay Beam-Space processing

Beamformer Bank Optimization for True Time Delay Beam-Space ...

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

作者： Wilkins, Nathan Shaw, Arnab USAF Res Lab Munit Directorate Eglin AFB FL 32542 USA Wright State Univ Dept Elect Engn Dayton OH USA

ISBN: (纸本)9781467310710

the authors examine optimization of the antenna array beamformer bank for a technique to apply coherent signal subspace processing in the beam-space of a bank of true time delay beamformers. this technique offers computational expense advantages over element-space methods, Mean Square Error (MSE) performance similar to wideband coherent subspace techniques and is frequency invariant. this article reports on simulation experiments to improve the true time delay beamformer bank configuration so as to optimize MSE performance of source direction resolution for closely spaced wideband sources. Simulations include pattern search, genetic algorithm and simulated annealing global optimization methods. Results indicate that performance can be significantly improved by applying these methods to the beamformer bank design.

关键词： true time delay space processing Genetic Algorithm (GA) signal subspace

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Localization and array Shape Estimation Using Software Defined Radio array Testbed

Localization and Array Shape Estimation Using Software Defin...

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

作者： Akindoyin, Akinbiyi Willerton, Marc Manikas, Athanassios Imperial Coll London Elect & Elect Engn London England

ISBN: (纸本)9781479914814

the emergence of software defined radio (SDR) aims to increase flexibility as well as reduce cost, size, weight and power (SWAP) inherent in traditional hardware radios. this paper is concerned with addressing issues associated with the formation of an array system from multiple SDR boards where each has an independent local oscillators (LO) in a multi-antenna system using representative examples such as localization and array shape estimation. In particular, practical experimental results are initially presented for estimating the unknown location of a single source using an SDR array of known array geometry. Furthermore, in the case that the SDR array geometry is unknown, a novel array shape estimation algorithm is proposed. the proposed algorithm estimates the antenna locations without requiring any external sources. this is achieved by allowing the array elements operate as transceivers.

关键词： Software defined radio array shape estimation localization

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Adaptive Pulse Design for Space-Time Adaptive processing

Adaptive Pulse Design for Space-Time Adaptive Processing

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

作者： Patton, Lee K. Hack, Daniel E. Himed, Braham Matrix Res Dayton OH USA AF Res Lab Wright Patterson AFB OH USA

ISBN: (纸本)9781467310710

Space-time adaptive processing (STAP) is used in radar to adaptively suppress both ground clutter returns and radio frequency interference (RFI). However, RFI suppression utilizes degrees-of-freedom that would otherwise be applied to clutter suppression. this paper considers designing the transmit pulse so that fast-time correlated (i.e., colored) RFI is suppressed in the pulse-compression stage preceding the STAP processor. the objective function and constraints for the waveform optimization are derived, and a numerical example demonstrating the efficacy of the approach is provided.

关键词： Space time adaptive processing Radiofrequency interference numerical example Vital Signs fast timing radio frequency interference suppression Ground clutter clutter suppression

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A Performance-Weighted Blended Dominant Mode Rejection Beamformer 10

A Performance-Weighted Blended Dominant Mode Rejection Beamf...

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

作者： Buck, John R. Singer, Andrew C. Univ Massachusetts Dartmouth ECE Dept Dartmouth MA 02747 USA Univ Illinois ECE Dept Urbana IL 61801 USA

ISBN: (纸本)9781538647523

Adaptive beamformers operating in snapshot deficient situations often estimate regularization parameters such as the diagonal loading level or the signal subspace dimension. We propose a new beamformer that avoids this problem by computing its array weights as a mixture of the array weights for a set of beamformers. the new beamformer's average output power asymptotically approaches the best performance of any of the beamformers in the set. Applying this technique to the Dominant Mode Rejection (DMR) beamformer obviates the need to estimate the dominant signal subspace dimension. An example simulation of a complicated passive sonar scenario illustrates that the blended beamformer's performance rivals the performance of the best fixed subspace DMR beamformer, and may outperform all of them in nonstationary environments.

关键词： Power generation sensor arrays array signal processing Direction-of-arrival estimation Adaptation models Loading"

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