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共 963 条记录，以下是281-290 订阅

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Distributed Binary Geometric sensor arrays for Low-Data-Throughput Human Gait Biometrics

Distributed Binary Geometric Sensor Arrays for Low-Data-Thro...

引用

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

作者： Yue, Tianyao Hao, Qi Brady, David J. Duke Univ Dept Elect & Comp Engn Box 90291 Durham NC 27708 USA Univ Alabama Dept Elect & Comp Engn Tuscaloosa AL 35487 USA

ISBN: (纸本)9781467310710

We present a novel sensing paradigm of measuring human gait. The goal of the research is to achieve low-cost gait biometrics systems with minimum data throughput for various sensing modalities. The binary measurements of the system are achieved by using both (1) periodic and (2) pseudo-random sampling structures. As a result, either static or dynamic gait features can be estimated from a one-bit data stream. The simulation results demonstrate the gait information acquisition capability of the proposed binary sensing technology.

关键词： Biometrics

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Tracking Simplified Shapes Using a Stochastic Boundary

Tracking Simplified Shapes Using a Stochastic Boundary

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

作者： Zea, Antonio Faion, Florian Baum, Marcus Hanebeck, Uwe D. Karlsruhe Inst Technol KIT Inst Anthropomat & Robot Intelligent Sensor Actuator Syst Lab ISAS Karlsruhe Germany Univ Connecticut Storrs CT USA

ISBN: (纸本)9781479914814

When tracking extended objects, it is often the case that the shape of the target cannot be fully observed due to issues of visibility, artifacts, or high noise, which can change with time. In these situations, it is a common approach to model targets as simpler shapes instead, such as ellipsoids or cylinders. However, these simplifications cause information loss from the original shape, which could be used to improve the estimation results. In this paper, we propose a way to recover information from these lost details in the form of a stochastic boundary, whose parameters can be dynamically estimated from received measurements. The benefits of this approach are evaluated by tracking an object using noisy, real-life RGBD data.

关键词： EXTENDED OBJECTS information loss Ellipsoid tracking Stochastic Boundary boundary layer Shape Targets Noise tracking objects

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Mismatch Loss Constrained Instrumental Variable Filtering for GSM Passive Bistatic Radar

Mismatch Loss Constrained Instrumental Variable Filtering fo...

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

作者： Bahlke, Florian Zemmari, Reda Nickel, Ulrich Pesavento, Marius Univ Sci Darmstadt Commun Syst Grp D-64283 Darmstadt Germany Fraunhofer FKIE Sensor Data & Informat Fus Dept D-53343 Wachtberg Germany

ISBN: (纸本)9781479914814

In this paper we address the design and evaluation of a mismatched filter for application in GSM passive bistatic radar (PBR). We discuss various exisiting approaches for the filter design, which originate from active radar systems and have to be adapted for PBR. Our proposed method minimizes the L-p-norm of the sidelobe level energies under an upper-bound constraint on the SNR loss relative to the matched filter. We show the suitibility of this approach for GSM based PBR and give a performance evaluation. Based on simulated and measured data, we show that the proposed filter can improve range resultion and target detection of the PBR system.

关键词： mismatch loss Pebble bed reactors TSPO gene passive bistatic radar Global mobile communication-systems wireless phone filter design Performance Evaluation matched filters Object detection

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Hybrid Particle Filtering based on an Elitist Resampling Scheme 10

Hybrid Particle Filtering based on an Elitist Resampling Sch...

引用

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

作者： Halimeh, Mhd Modar Huemmer, Christian Brendel, Andreas Kellermann, Walter Friedrich Alexander Univ Erlangen Nurnberg Multimedia Commun & Signal Proc Cauerstr 7 D-91058 Erlangen Germany

ISBN: (纸本)9781538647523

In this paper, the elitist resampling particle filter (ERPF) is introduced. The ERPF is an approach to combine generic particle filters, i.e., the SIS and SIR particle filter, based on an evolutionary selection of particles, which introduces a long-term memory to the selected group of the particles. Thereby, the ERPF aims at fusing the advantages, e.g., robustness and computational efficiency, and mitigating the drawbacks of each filter, e.g., degeneracy and sample impoverishment. Two variants of the ERPF are presented in this paper: the discrete ERPF (DERPF) and the continuous ERPF (CERPF), which to the authors' knowledge represent new forms of particle filters. The two proposed hybrids are compared to the corresponding original filters using two well-established benchmark models to illustrate that the evolutionary combinations provide a better estimation accuracy and exhibit an increased robustness against outliers.

关键词： Estimation Particle filters Robustness Sociology Statistics array signal processing"

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Experimental Evaluation of a Universal Dominant Mode Rejection Beamformer 10

Experimental Evaluation of a Universal Dominant Mode Rejecti...

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

作者： Wage, Kathleen E. Buck, John R. George Mason Univ Elect & Comp Engn Dept Fairfax VA 22030 USA Univ Massachusetts Dartmouth Elect & Comp Engn Dept Dartmouth MA 02747 USA

ISBN: (纸本)9781538647523

The Dominant Mode Rejection (DMR) beamformer is designed to operate in non-stationary environments where few snapshots are available to estimate the sample covariance matrix (SCM). DMR assumes that the covariance can be split into orthogonal subspaces defined by the SCM eigenvectors: the first contains the loud interferers and the second contains the remaining signals and noise. The DMR approach requires an estimate of the rank of the interference subspace. Motivated by universal linear prediction, Buck and Singer propose a universal DMR beamformer that computes its weight vector as a linear combination of weight vectors for a set of fixed rank DMR beamformers. This universal DMR beamformer eliminates the need to explicitly estimate the rank of the interference subspace. Under reasonable mathematical assumptions, the universal DMR beamformer is guaranteed to converge to the performance of the best fixed rank beamformer in the set. This paper explores the performance of the universal DMR beamformer for a passive sonar data set acquired with a vertical line array deployed in the Philippine Sea.

关键词： Eigenvalues and eigenfunctions Standards sensor arrays Narrowband array signal processing Covariance matrices Interference"

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Energy Efficient Resource Optimization for a Downlink NOMA Heterogeneous Small-cell Network 10

Energy Efficient Resource Optimization for a Downlink NOMA H...

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

作者： Fang, Fang Cheng, Julian Ding, Zhiguo Poor, H. Vincent Univ Manchester Sch Elect & Elect Engn Manchester M13 9PL Lancs England Univ British Columbia Sch Engn Kelowna BC V1V 1V7 Canada Princeton Univ Dept Elect Engn Princeton NJ 08544 USA

ISBN: (纸本)9781538647523

Non-orthogonal multiple access (NOMA) is considered to be a key technology for fifth-generation mobile communication networks due to its superior spectral efficiency. In this paper, the problem of energy efficient subchannel and power allocation is investigated for a downlink NOMA heterogeneous network. The energy efficient resource allocation problem is first formulated as a mixed integer nonconvex optimization problem. By exploiting convex relaxation and dual decomposition techniques, a closed-form expression is derived via a Lagrangian approach. Simulation results show that the proposed algorithm can converge within ten iterations and obtain high system energy efficiency.

关键词： Resource management NOMA Interference Macrocell networks Sun Downlink array signal processing"

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Mainlobe Deceptive Jammer Suppression with FDA-MIMO Radar 10

Mainlobe Deceptive Jammer Suppression with FDA-MIMO Radar

引用

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

作者： Xu, Jingwei Kang, Jialin Liao, Guisheng So, Hing Cheung Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China City Univ Hong Kong Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781538647523

Anti-jamming technique has become an increasing demand in radar systems due to the fast development of electronic countermeasures. To alleviate the extremely difficult deceptive jammer suppression problem, frequency diverse array (FDA) based multiple-input multiple-output (MIMO) radar is devised and a sample selection based deceptive jammer suppression method is developed. The basic principle of the FDA-MIMO radar regarding its superiority in canceling the deceptive jammers is studied in detail. In order to handle the pseudo-random distribution issue of false targets within the secondary training samples, a subspace projection based sample selection method is proposed. When certain a priori knowledge of the true target is available, the time-delayed false targets can be adequately suppressed, even if the latter are in the mainlobe direction. Simulation examples demonstrate the effectiveness of our solution.

关键词： Jamming array signal processing Delay effects Radar countermeasures Doppler radar"

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Collaborative classification applications in sensor networks

Collaborative classification applications in sensor networks

引用

2nd ieee sensor array and multichannel signal processing workshop

作者： Meesookho, C Narayanan, S Raghavendra, CS Univ So Calif Dept Elect Engn Los Angeles CA 90089 USA

ISBN: (纸本)0780375513

Distributed sensor networks are a significant technology nowadays. Inexpensive, smart devices with multiple sensors provide opportunities for instrumenting, monitoring and controlling targeting systems. Such sensor nodes have capability for acquiring and embedded-processing of variety of data forms. Collaborative signal processing and fusion algorithms are needed to aggregate the distributed data from among the nodes in the network, including possibly multiple modalities of data within a sensor node, to make decisions in a reliable and efficient manner. One of the important sensor network applications is target classification in battlefields. This paper presents improved moving vehicle target classification performance using data obtained from sensor networks with collaboration both across nodes and within a node in terms of multimodal fusion. Results show that a 50% relative improvement in classification error can be obtained using collaboration both in the case of single vehicle target and those involving multi-vehicle convoys.

关键词： sensor nodes

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Experimental Evaluation of a Null-Steered Performance Weighted Blended Beamformer 13

Experimental Evaluation of a Null-Steered Performance Weight...

引用

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

作者： Tucker, Jeff Wage, Kathleen E. George Mason Univ ECE Dept Fairfax VA 22030 USA

ISBN: (纸本)9798350344820;9798350344813

In array signal processing beamformers are used to improve the signal to interference and noise ratio (SINR). Dominant mode rejection (DMR) is a common adaptive beamforming algorithm designed to detect quiet sources in the presence of a few loud interferers. Buck and Singer proposed the Universal DMR (UDMR) beamformer that automates the selection of the subspace rank by blending fixed-rank DMR beamformers based on their performance. While UDMR requires only slightly more computation than a single fixed-rank DMR, it still requires a computationally expensive eigendecomposition. This paper proposes to reduce the computational complexity of the UDMR by replacing the DMR beamformers with a set of conventional beamformers. The null-steered performance weighted blended (NS-PWB) beamformer combines beamformers with nulls steered to interlocking locations so that if a planewave interferer is present at least one beamformer in the set will have a null nearby. Additionally, when there are persistent sources of non-plane-wave interference then beamformers can be designed and included in the beamformer set to reject those interferers when they are present. This paper applies the NS-PWB beamformer to data from a vertical line array in the Philippine Sea. The results show that the NS-PWB approximates the SINR performance of DMR beamformers with significant computational savings.

关键词： signal processing sensor arrays passive sonar universal beamforming beamforming

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An Anti-jamming Method of ISAR Imaging with FDA-MIMO Radar 10

An Anti-jamming Method of ISAR Imaging with FDA-MIMO Radar

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

作者： Li, Guangming Zhang, Qun Luo, Ying Li, Kaiming Su, Linghua Li, Rui Air Force Engn Univ Grad Coll Xian Shaanxi Peoples R China Air Force Engn Univ Informat & Nav Coll Xian Shaanxi Peoples R China

ISBN: (纸本)9781538647523

In recent years, the frequency diverse array (FDA) radar has attracted much attention due to its range-angle dependent beam-pattern. And multiple input multiple output (MIMO) radar has been widely investigated with the advantage of transmit waveform diversity. In this paper, a FDA-MIMO Inverse Synthetic Aperture Radar (ISAR) is proposed to achieve anti-jamming of ISAR imaging. LFM (Linear Frequency Modulated) and SFCS (Stepped-Frequency Chirp signal) signals are transmitted to jammer and targets respectively, and the received signals are matched filtering by the signal transmitted to the targets. So the jamming signal can't matched with the reference signal, the well anti-jamming effect can be obtained. The performance of the proposed method is evaluated by the simulation results.

关键词： Frequency diverse array multiple input multiple output inverse synthetic aperture radar anti-jamming

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