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检索条件"任意字段=4th IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006"

共 65 条记录，以下是51-60 订阅

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Node density and range improvement in cooperative networks using randomized Sspace-time block coding with time synchronization errors

Node density and range improvement in cooperative networks u...

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4th ieee sensor array and multichannel signal processing workshop

作者： Palat, Ramesh Chembil Annamalai, A. Reed, Jeffrey H. Virginia Tech Mobile & Portable Radio Res Grp Blacksburg VA 24061 USA

ISBN: (纸本)1424403081

Cooperative communication in energy-constrained networks is a topic of emerging interest in recent years especially for sensor network applications. We consider cooperative transmission from a cluster of nodes to a remote receiver. the transmission protocol used is randomized orthogonal space-time block coding, which allows each node to randomly transmit one column of a given orthogonal space-time code matrix. Previous work on the topic has shown that the scheme can achieve maximum possible diversity order for a given SNR as the number of cooperating nodes increases. In this paper we examine the range extension achievable under realistic conditions accounting for time synchronization errors and use of pulse shaping filters. We show that the scaling of range as the number of nodes increase with timing error is not linear. It reaches a limit beyond which range improvement is not significant.

关键词： sensor networks

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Estimation of Inter-Channel Phase Differences using Non-Negative Matrix Factorization

Estimation of Inter-Channel Phase Differences using Non-Nega...

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

作者： Kayser, Hendrik Anemueller, Joern Adiloglu, Kamil Carl von Ossietzky Univ Oldenburg Med Phys D-26111 Oldenburg Germany Carl von Ossietzky Univ Oldenburg Cluster Excellence Hearing4all D-26111 Oldenburg Germany HorTech gGmbH Ctr Competence Res & Dev D-26129 Oldenburg Germany

ISBN: (纸本)9781479914814

Estimation of non-linearities in phase differences between two or more channels of an audio recording leads to a more precise spatial information in audio signal enhancement applications. In this work, we propose the estimation of these non-linearities in multi-channel, multi-source audio mixtures in reverberant environments. For this task, we compute short term cross-correlation functions between the channels and extract the non-linear inter-channel phase differences as well as a measure of activation for each source. this is conducted by decomposition of the cross-correlation matrix using a non-negative matrix factorization method. Our evaluation shows that the estimated inter-channel phase differences depict the non-linearities. Furthermore, the estimated activations reflect the time instances where the sources are active. In audio source separation experiments the proposed method outperforms a state-of-the-art approach based on linear phase differences by 30% in terms of relative improvement.

关键词： matrix decomposition Nonnegative Audio recording phase difference Phase Audio nonlinearity Cross correlation

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An Airborne VideoSAR High-resolution Ground Playback System Based on FPGA 11

An Airborne VideoSAR High-resolution Ground Playback System ...

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

作者： Liu, Chenwei Wang, Xudong Zhu, Daiyin Nanjing Univ Aeronaut & Astronaut Coll Elect Informat Engn Key Lab Radar Imaging & Microwave Photon Minist Educ Nanjing 211106 Peoples R China

ISBN: (纸本)9781728119465

As a novel SAR imaging mode, the ideal state of VideoSAR system is to perform real-time processing of radar echoes with high frame rate on airborne platform. Compared with previous studies on hardware acceleration processing of individual module, this paper makes a further attempt on the implementation of VideoSAR system. An FPGA-based high-resolution ground playback system for airborne VideoSAR including data transmission, imaging, autofocus, geometric distortion correction and display interface is designed in this study. through the frame-by-frame extraction of radar raw data, which is collected to FLASH during the flight, the process of high-resolution, high frame rate video SAR playback imaging is completed on the ground. It can be verified that the system can convert a frame of 16Kx2K raw data into 4Kx2K SAR image within 1 second, and is expected to support onboard real-time processing in the future, which provides a valuable reference for the further development of VideoSAR system.

关键词： VideoSAR FPGA System Design Ground Playback High Frame Rate processing

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Fast kq-Space sampling with Motion-Induced Phase in Diffusion MRI 10

Fast kq-Space Sampling with Motion-Induced Phase in Diffusio...

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

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

ISBN: (纸本)9781538647523

High spatio-angular resolution diffusion MRI has been shown to provide accurate identification of complex fiber configurations. However, its application in clinics remains limited due to the long required acquisition time. Recently, we have developed a method relying on an accelerated kq-space under-sampling scheme to recover the intra-voxel fiber configurations. In the current work, we generalize our method to consider a more realistic setting. We include into the kq-space measurement model the phase contamination induced by magnetic field inhomogeneities and motion during the signal acquisition. Simulations are performed on realistic synthetic data, considering both the cases when the phase is perfectly known, and when it is pre-calibrated. Results show that, in both the cases, the phase contamination does not penalize the recovery of the fiber configuration.

关键词： Diffusion MRI FOD kq-space motion phase contamination

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Toward bandwidth invariance of spatial processing in the non-cooperative receiver

Toward bandwidth invariance of spatial processing in the non...

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4th ieee sensor array and multichannel signal processing workshop

作者： Shaw, Arnab Jamali, Moshin Wilkins, Nathan Wright State Univ 3640 Colonel Glenn Highway Dayton OH 45435 USA Univ Toledo Toledo OH 43606 USA AF Res Lab Wright Patterson AFB OH 45433 USA

ISBN: (纸本)1424403081

As the modern electro-magnetic environment in urban and battlefield scenarios becomes increasingly denser, system designers tend to gravitate toward wide bandwidth solutions. Not only do spread spectrum designs permit increased co-channel utilization, they also tend to be inherently more secure, decreasing the probability of intercept by non-cooperative receivers. this is in part due to the code that must be applied in order to modulate the information bandwidth into a much wider transmitted bandwidth. In addition the non-cooperative receiver must contend with issues of increased noise, decreased sensitivity, and increased signal processing resource requirements among others. the problem is further exacerbated for receivers that must perform emitter geo-location or other forms of spatial processing, since the conventional high-resolution techniques rely on phase measurements based on the monochromatic assumption. this paper will discuss some of the existing methods suggested to contend with wide bandwidth spatial processing for noncooperative receivers and their limitations. It will introduce a new method based on the bilinear transformation that overcomes some of these limitations. It will present simulation results that demonstrate the advantage of this technique.

关键词： signal receivers

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Time-Regularized Blind Deconvolution Approach for Radio Interferometry 10

Time-Regularized Blind Deconvolution Approach for Radio Inte...

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

作者： thouvenin, Pierre-Antoine Repetti, Audrey Dabbech, Arwa Wiaux, Yves Heriot Watt Univ Inst Sensors Signals & Syst Edinburgh EH14 4AS Midlothian Scotland

ISBN: (纸本)9781538647523

Radio-interferometric imaging aims to estimate a sky intensity image from degraded undersampled Fourier measurements. At the dynamic range of interest to modern radio telescopes, the image reconstruction quality will be limited by the unknown time-dependent calibration kernels. Hence the need of performing joint image reconstruction and calibration, and consequently of solving a non-convex blind deconvolution problem. Extending our recent work where the calibration kernels are assumed to be smooth in space, we further assume in this work that the calibration kernels are smooth in time. In addition, an average sparsity prior is used for the estimation of the image of interest. the resulting high dimensional non-convex non-smooth minimization problem is then solved by leveraging an alternating forward-backward algorithm which benefits from well-established convergence guarantees. Our results show that time-regularization is effective in enhancing imaging quality.

关键词： interferometric imaging calibration alternating forward-backward approach

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Kernel interpolation of acoustic transfer function between regions considering reciprocity 11

Kernel interpolation of acoustic transfer function between r...

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

作者： Ribeiro, Juliano G. C. Ueno, Natsuki Koyama, Shoichi Saruwatari, Hiroshi Univ Tokyo Grad Sch Informat Sci & Technol Tokyo Japan PRESTO JST 4-1-6 Honcho Kawaguchi Saitama 3320012 Japan

ISBN: (纸本)9781728119465

A method for interpolating the acoustic transfer function (ATF) between predetermined source and receiver regions is proposed. A previous work has shown that the region-to-region ATF can be estimated by separating it into a reverberant component added to a given direct component and representing the reverberant component with a finite sum of spherical wavefunctions. Our proposed method is based on the kernel ridge regression for estimating the reverberant component with a reproducing kernel Hilbert space defined to include acoustic properties into the interpolation. the proposed method based on the infinite dimensional expansion into spherical wavefunctions is independent of the empirical truncation used in the previous method. Furthermore, by taking the acoustic reciprocity into consideration, more accurate estimations are possible with a limited set of measurements compared to the truncation-based method. the advantages of the proposed method were validated by experiments based on a three-dimensional acoustic simulation.

关键词： acoustic transfer function kernel ridge regression reproducing kernel Hilbert space soundfield interpolation Helmholtz equation

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Joint Beamforming and Transmit Design for the Non-Regenerative MIMO Broadcast Relay Channel

Joint Beamforming and Transmit Design for the Non-Regenerati...

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

作者： Steinwandt, Jens Vorobyov, Sergiy A. Haardt, Martin Ilmenau Univ Technol Commun Res Lab D-98684 Ilmenau Germany Aalto Univ Dept Signal Proc & Acoust FI-0076 Aalto Finland Univ Alberta Dept Elect & Comp Engn Edmonton AB T6G 2V4 Canada

ISBN: (纸本)9781479914814

In this paper, we consider a multiple-input multiple-output (MIMO) broadcast relay channel (BRC), in which the communication of a multi-antenna base station (BS) with several multi-antenna mobile stations (MS) is assisted by a fixed half-duplex multi-antenna relay station (RS). Applying dirty paper coding (DPC) at the BS and beamforming at the RS, we jointly optimize the transmit covariance matrices at the BS and the beamforming matrix at the RS by maximizing the system sum rate, which is a nonconvex problem. To solve this problem, we resort to the more tractable sum rate maximization in the dual multiple access relay channel (MARC), which is still a nonconvex difference of convex functions (DC) programming problem. We develop an iterative algorithm, termed alternating matrix polynomial time DC (POTDC) algorithm, based on an alternating optimization of the beamforming matrix and the transmit covariance matrices. the resulting covariance matrices for the MARC are then mapped to the desired BRC covariance matrices. the sum rate performance of the proposed algorithm is demonstrated by simulations.

关键词： Multiuser MIMO relaying sum rate maximization alternating optimization difference of convex functions

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On Perceptual Audio Equalization for Multiple Users in Presence of Ambient Noise 10

On Perceptual Audio Equalization for Multiple Users in Prese...

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

作者： Estreder, Juan Pinero, Gema Aguirre, Fabian de Diego, Maria Gonzalez, Alberto Univ Politecn Valencia Inst Telecom & Multimedia Applicat iTEAM Valencia Spain

ISBN: (纸本)9781538647523

there are many situations where ambient noise can disturb the listening of music through loudspeakers, the most usual inside cars, trains or airplanes. A common solution is to listen to the music through headphones, but in some cases, as for the car driver, it is not allowed. Even for the rest of the passengers of a car, it would be more comfortable to listen to the music without the need of headphones. In this paper, we have implemented a single-user perceptual equalizer that presents a good behaviour similar to previous solutions, but it is based on a linear additive auditory masking model. Moreover, we propose a new strategy to obtain the gains of the perceptual equalizer that does not depend on external parameters. Our alternative approach (linear additive masking model and robust equalizer design) makes possible to extend the perceptual equalizer to the multi-user case, i.e., when more than one user are considered and their own perceptual curves are interacting in the same enclosure. Objective measurements and informal listening tests have confirmed the good behaviour of the single-user strategy.

关键词： Perceptual audio equalization ambient noise multi-user audio acoustic networks smart audio processing

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sensor management with uncertain performance characteristics

Sensor management with uncertain performance characteristics

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4th ieee sensor array and multichannel signal processing workshop

作者： Kolba, Mark P. Collins, Leslie M. Duke Univ Elect & Comp Engn Dept Box 90291 Durham NC 27708 USA

ISBN: (纸本)1424403081

Previous work has presented an information-theoretic sensor management framework for the detection of static targets. this framework is based on the expected discrimination gain maximization technique of Kastella. the sensor manager searches for N targets within a grid of cells using M sensors, which may be thought of as a reconfigurable sensor array. sensor probabilities of detection and false alarm are used in the mathematical structure of the sensor manager, and these probabilities have previously been assumed to be certain. Realistic problems, however, will inevitably involve uncertainty. this paper introduces uncertain sensor P-d and P-f values into the mathematical framework and allows for their incorporation into the sequential structure of the sensor manager. the performance of the presented sensor management technique is then compared to direct search, where the sensors sweep through the grid in a predefined sampling pattern. the sensor manager is found to be superior to direct search when the uncertainty present in the problem is properly modeled. When uncertainty is present but not modeled, the performance of the sensor manager is severely degraded. this result indicates that uncertainty modeling will be important and necessary for the successful application of the presented sensor manager to real-world problems. Additional simulations examine the robustness of the sensor manager to errors in the assumed densities for P-d and P-f, and the performance of the sensor manager is found to remain strong even when the assumed P-d and P-f densities differ from the true densities.

关键词： sensor management discrimination gain uncertainty detection multimodal sensing

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