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检索条件"任意字段=IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2000"

共 962 条记录，以下是181-190 订阅

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A Performance-Weighted Blended Dominant Mode Rejection Beamformer 10

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

引用

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

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

引用

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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Exploiting array Motion for Augmentation of Co-prime arrays

Exploiting Array Motion for Augmentation of Co-prime Arrays

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

作者： Ramirez, Juan, Jr. Odom, Jonathan Krolik, Jeffrey Duke Univ Dept Elect Comp Engn Durham NC 27708 USA

ISBN: (纸本)9781479914814

In this paper, we combine concepts from synthetic aperture processing and non-uniform linear array theory. Our objective is to use array motion to synthesize an array that can achieve the performance of a filled uniform linear array (ULA), but with fewer sensors than required for spatial Nyquist sampling. The class of physical arrays we use for synthesis are co-prime arrays constructed by nesting under-sampled ULA's with co-prime inter-element spacings. In particular, we use array motion to fill in missing co-array spacings. For co-prime M and N, a physical array of M + 2 N - 1 sensors plus modest array motion is used to achieve a filled co-array corresponding to approximately 2 M N elements. This facilitates spatial spectral estimation via non-adaptive beamforming over an extended aperture with low sidelobe performance.

关键词： Spectrum analysis

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Analog Beamformer Design for Interference Exploitation based Hybrid Beamforming 10

Analog Beamformer Design for Interference Exploitation based...

引用

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

作者： Hegde, Ganapati Masouros, Christos Pesavento, Marius Tech Univ Darmstadt Commun Syst Grp Darmstadt Germany UCL Dept Elect & Elect Engn London England

ISBN: (纸本)9781538647523

Hybrid analog-digital beamforming has been shown to reduce hardware cost and power consumption in massive MIMO systems, at the expense of increased radiated power for given performance targets. To alleviate the above shortfall, in this paper we exploit the concept of constructive interference (CI) that has been shown to offer significant radiated power savings in fully-digital multi-user downlink MIMO systems. We explore analog beamforming design, and develop solutions specifically tailored for CI-based hybrid beamforming. We also evaluate the performance of the presented techniques and their computational complexities using simulation results.

关键词： array signal processing Radio frequency Antennas sensor arrays Conferences MIMO communication"

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ROBUST ADAPTIVE VECTOR sensor processing IN THE PRESENCE OF MISMATCH AND FINITE SAMPLE SUPPORT

ROBUST ADAPTIVE VECTOR SENSOR PROCESSING IN THE PRESENCE OF ...

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ieee sensor array and multichannel signal processing workshop

作者： Poulsen, Andrew J. Nadakuditi, Raj Rao Baggeroer, Arthur B. MIT Cambridge MA 02139 USA

ISBN: (纸本)9781424422401

We present analytical results which quantify the effect of system mismatch and finite sample support on acoustic vector sensor array performance. One noteworthy result is that the vector aspect of the array "dampens" the effect of array mismatch, enabling deeper true nulls. This is accomplished because the variance of the vector sensor array spatial response (due to rotational, positional and filter gain/phase perturbations) decreases in the sidelobes, unlike arrays of omnidirectional hydrophones. When sensor orientation is measured within a reasonable tolerance, the beampattern variance dominates the average sidelobe power response. Our analysis also suggests that vector sensor array gain performance is less sensitive to rotational than to positional perturbations in the regions of interest. We analytically characterize the eigen-SNR threshold, which depends on the signal and noise covariance and the number of noise-only and signal-plus-noise snapshots, below which (asymptotically speaking) reliable detection using sample eigenvalue based techniques is not possible. Thus for a given number of snapshots, since the dimensionality of the snapshot in a vector sensor array is larger than that of a hydrophone-only array, the eigen-SNR detection threshold will be greater whenever the eigenvector information is discarded. We present processing techniques customized to the unique characteristics of vector sensors, which exploit information encoded in the sample eigenvectors and are robust to the mismatch and finite sample support issues. These methods include adaptive processing techniques with multiple white noise constraints.

关键词： Hydrophones

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RIDGE REGRESSION AND KALMAN FILTERING FOR TARGET TRACKING IN WIRELESS sensor NETWORKS

RIDGE REGRESSION AND KALMAN FILTERING FOR TARGET TRACKING IN...

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

作者： Mahfouz, Sandy Mourad-Chehade, Farah Honeine, Paul Farah, Joumana Snoussi, Hichem Univ Technol Troyes Inst Charles Delaunay CNRS Troyes France Univ St Esprit Kaslik Fac Engn Dept Telecommun Juniyah Lebanon

ISBN: (纸本)9781479914814

This paper introduces an original method for target tracking in wireless sensor networks that combines machine learning and Kalman filtering. A database of radio-fingerprints is used, along with the ridge regression learning method, to compute a model that takes as input RSSI information, and yields, as output, the positions where the RSSIs are measured. This model leads to a position estimate for each target. The Kalman filter is used afterwards to combine the model's estimates with predictions of the target's positions based on acceleration information, leading to more accurate ones.

关键词： radio-fingerprinting Kalman filter ridge regression RSSI tracking WSN

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Identical Partitioning of Consecutive Integer Set 13

Identical Partitioning of Consecutive Integer Set

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

作者： Zhang, Yimin D. Sun, Shunqiao Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA Univ Alabama Dept Elect & Comp Engn Tuscaloosa AL 35487 USA

ISBN: (纸本)9798350344820;9798350344813

In this paper, we develop a scheme to partition a one- or multi-dimensional consecutive integer number set into multiple identical, possibly rotated, subsets. The proposed technique first exploits one-dimensional nested subsets, and the results are extended to achieve two- and multi-subset partitioning as well as in two- and multi-dimensional spaces. The number of consecutive lags in each case is examined. The results are useful to various sensing and communication applications, and sparse step-frequency waveform design for range estimation in automotive radar is demonstrated as an example.

关键词： integer set partition multi-dimensional partition sparse array sparse waveform design automotive radar

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Joint User Selection and Hybrid Analog-Digital Beamforming in Massive MIMO Systems 10

Joint User Selection and Hybrid Analog-Digital Beamforming i...

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

作者： Hegde, Ganapati Pesavento, Marius Tech Univ Darmstadt Commun Syst Grp Darmstadt Germany

ISBN: (纸本)9781538647523

In this paper, we consider a multi-user massive MIMO network with hybrid beamforming architecture at the base station. The objective is to jointly perform user selection and design analog-digital hybrid beamformers in order to maximize a given utility function while satisfying various pertinent constraints. The problem is combinatorial and impractical to solve optimally for a large system. In order to overcome the problem we develop a low-complexity heuristic algorithm. We propose a novel metric to judiciously select a predefined number of appropriate users and to pick congruent analog beamformers from a given dictionary based on the sparse regression techniques. Complementary digital beamformers are then designed for the selected users and fixed analog beamformers. Through simulations we analyze the performance of the proposed technique and compare it with the performance of standard techniques.

关键词： array signal processing Dictionaries Radio frequency Linear programming MIMO communication signal to noise ratio Interference"

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The array geometry design in airborne microwave 2-D direction finding

The array geometry design in airborne microwave 2-D directio...

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4th ieee sensor array and multichannel signal processing workshop

作者： Park, Cheol-Sun Jang, Won Kim, Dae-Young Agcy Def Dev EW Lab Taejon South Korea Chungnam Natl Univ Dept Informat & Commun Engn Chungnam South Korea

ISBN: (纸本)1424403081

The resolving ambiguity of phase interferometer is necessary when the baseline separation between elements exceeds half wavelength since the phase difference between elements can only be measured modulo 2 pi. It is difficult to meet the condition the minimum distance between two antennas is less than half wavelength for avoiding ambiguity in wideband operation. In this paper, we propose a simple and efficient array design method which minimizes the probability of ambiguity. This method adapts NLA (nonuniform linear array) geometry. And there is no need to maintain the distance between antennas less than half wavelength. We also show some numerical examples and experimental results of the 2-D array prototype for airborne application.

关键词： antenna array directional of array (DOA) estimation NLA( nonuniform linear array)

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Beamformer Design For Nonstationary signals by Means of Interfrequency Correlations

Beamformer Design For Nonstationary Signals by Means of Inte...

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

作者： Naghibi, Tofigh Pfister, Beat ETH Comp Engn & Networks Lab Speech Proc Grp Zurich Switzerland

ISBN: (纸本)9781467310710

The wide-sense stationary assumption has been frequently employed in array processing, since it results in uncorrelated frequency bins and consequently major simplifications arise. However, unlike stationary signals, significant interfrequency correlations are observable in nonstationary signals like speech. Here, we drop the stationarity assumption and will show that taking interfrequency correlations into account leads to higher noise reduction. We develop a framework to design nonstationary beamformers similar to the stationary Frost beamformers. Based on the noise model, it can be used to design both fixed and adaptive beamformers. The nonstationary beamformer derived here is a set of time-varying filters and hence can be seen as a set of time-frequency or wavelet transform filters.

关键词： beamformers Noise models time-varying filters array processing signals setting time Noise reduction Filters

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