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检索条件"任意字段=2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016"

共 1002 条记录，以下是81-90 订阅

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Improving the Projection Method for TOA Source Localization in the Presence of sensor Position Errors

Improving the Projection Method for TOA Source Localization ...

引用

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

作者： Li, Jinzhou Ho, K. C. Guo, Fucheng Jiang, Wenli Natl Univ Def Technol Sch Elect Sci & Engn Changsha 410073 Hunan Peoples R China Univ Missouri ECE Dept Columbia MO 65211 USA

ISBN: (纸本)9781479914814

This paper develops a closed-form solution that improves the projection matrix method for time of arrival (TOA) source localization in the presence of sensor position inaccuracy. The projection approach is attractive because it does not require the use of an extra variable as in the traditional closed-form solution. Compared with the previous projection method, the proposed algorithm offers a closed-form solution and at the same time attains the Cramer-Rao lower bound (CRLB) performance for Gaussian noise over the small noise region. The performance of the proposed method is validated by simulations.

关键词： Time of arrival

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Sparse signal Recovery Using a Binary Program 12

Sparse Signal Recovery Using a Binary Program

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Rahman, Muhammed Tahsin Valaee, Shahrokh Univ Toronto Elect & Comp Engn Toronto ON Canada

ISBN: (纸本)9781665406338

Sparsity based signal recovery has seen great success in solving underdetermined systems of equations. This success is due, in large part, to a relaxation: the l0-norm is replaced by the l1-norm, which results in a convex problem. However, such a relaxation may lead to a suboptimal solution, one that may even be asymptotically biased. We propose formulating sparse signal recovery as a binary program, and we derive the conditions under which such a formulation perfectly recovers the signal support. This derivation equips us with a constraint on the dictionary's spectrum. However, designing such a dictionary is a combinatorial problem, so we suggest a heuristic which can be readily satisfied using the alternating projections algorithm. Applied to angle of arrival (AoA) estimation using a sensor array, we show how this paradigm outperforms both the basis pursuit l1-norm relaxation and the Matrix Pencil method.

关键词： Binary program sparsity compressed sensing angle of arrival estimation antenna array

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PARAMETRIC BOOTSTRAPPING OF array DATA WITH A GENERATIVE ADVERSARIAL NETWORK 11

PARAMETRIC BOOTSTRAPPING OF ARRAY DATA WITH A GENERATIVE ADV...

引用

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

作者： Gerstoft, Peter Groll, Herbert Mecklenbrauker, Christoph F. Univ Calif San Diego La Jolla CA 92093 USA TU Wien Inst Telecommun A-1040 Vienna Austria

ISBN: (纸本)9781728119465

Since the number of independent array data snapshots is limited by the availability of real-world data, we propose a parametric bootstrap for resampling. The proposed parametric bootstrap is based on a generative adversarial network (GAN) following the generative approach to machine learning. For the GAN model we chose the Wasserstein GAN with penalized norm of gradient of the critic with respect to its input (wGAN_gp). The approach is demonstrated with synthetic and real-world ocean acoustic array data.

关键词： generative adversarial network GAN sample covariance matrix DOA estimation Hellinger distance

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sampling in the Graph signal processing Companion Model 13

Sampling in the Graph Signal Processing Companion Model

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

作者： Shi, John Moura, Jose M. F. Carnegie Mellon Univ Elect & Comp Engn Pittsburgh PA 15213 USA

ISBN: (纸本)9798350344820;9798350344813

The classic DSP sampling property: "(Uniform) sampling of a bandlimited signal leads to (perfect) replication in the spectral domain." does not hold in the vertex Graph signal processing (GSP) model. sampling uniformly in GSP does not lead to perfect replicas, but rather distorted replicas [1]. In [2], we introduced a Step 1-Step 2 Companion Model Method, S2CM2, as a way to introduce new GSP concepts. The GSP companion model is closest to the DSP time model (with different boundary conditions), making it easier to extend DSP concepts. In this paper, we consider GSP sampling in the companion model. We show that GSP sampling theory in the companion model is similar to DSP sampling theory by illustrating the four sampling steps: Subsampling, Decimation, Upsampling, Interpolation, in the companion model.

关键词： signal sampling

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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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Voice activity detector for microphone array processing in hand free systems

Voice activity detector for microphone array processing in h...

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2nd ieee sensor array and multichannel signal processing workshop

作者： Krasny, L Oraintara, S Ericsson Inc Res Triangle Pk NC USA

ISBN: (纸本)0780375513

This paper describes the use of voice activity defector (VAD) in microphone array processing for hand-free systems. Two different types of VAD are proposed using conventional and adaptive beamforming. Taking into account the fact that the speech signal is not present at all time in human conversations, both signal of interest and noise can be better estimated. Simulation results show that the VAD significantly improves the performance of the array processing algorithms. The performances of the two types of VAD are also compared in the paper.

关键词： array processing

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Combining Artificial and Natural Background Noise in Personal Audio Systems 10

Combining Artificial and Natural Background Noise in Persona...

引用

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

作者： Wallace, Daniel Cheer, Jordan Univ Southampton Inst Sound & Vibrat Res Southampton Hants England

ISBN: (纸本)9781538647523

Personal audio systems are designed to deliver spatially separated regions of audio to individual listeners. This paper presents a method for improving the privacy of such systems. The level of a synthetic masking signal is optimised to provide specified levels of intelligibility in the bright and dark sound zones and reduce the potential for annoyance of listeners in the dark zone by responding to changes in ambient noise. Results from a simulated personal audio system indicate that less acoustic contrast is required to produce the same level of privacy when artificial masking is included in the system design, compared with relying on the masking effect of background noise alone. As privacy requirements become more challenging, the advantage gained by incorporating artificial masking increases.

关键词： Noise measurement Audio systems Privacy Psychoacoustics array signal processing"

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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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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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Non-Coherent Source Localization with Distributed sensor array Networks 12

Non-Coherent Source Localization with Distributed Sensor Arr...

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Wan, Zhengyu Liu, Wei Willett, Peter Univ Sheffield Dept Elect & Elect Engn Sheffield S Yorkshire England Univ Connecticut Dept Elect & Comp Engn Storrs CT USA

ISBN: (纸本)9781665406338

The non-coherent source localization problem based on distributed sensor arrays can be formulated into a group sparsity based phase retrieval problem where only the magnitude (absolute value) of the received signals is available. Under such a framework, a two-dimensional localization method is proposed. Unlike traditional source localization methods, random phase errors at sensors of the distributed array will not affect estimation results by the proposed method. Simulation results indicate that the proposed non-coherent source localization method outperforms the traditional one in the presence of large phase errors, while still maintains an acceptable accuracy in the absence of phase errors.

关键词： Target localization distributed sensor array magnitude-only measurements group sparsity non-coherent detection

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