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

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multichannel matched transmit-receiver design in presence of signal-dependent interference and noise

Multichannel matched transmit-receiver design in presence of...

引用

1st IEEE sensor array and multichannel signal processing workshop (SAM 2000)

作者： Pillai, SU Oh, HS Guerci, JR Polytech Univ Dept Elect Engn Brooklyn NY 11201 USA

ISBN: (纸本)0780363396

In presence of targets that respond to transmitter diversity such as polarization, to maximize the output SINR, it becomes necessary to jointly optimize the transmit signal vector and the receiver bank of filters in presence of signal dependent interference and noise. This multichannel matched transmitter-receiver structure is superior to its scalar counterpart, since several aspects of the signal dependent interference spectrum are "brought to light" in this case. The cross-interference spectral matrices infact contain much more information compared to the single channel case, and despite the highly nonlinear nature of the problem, it is possible to derive a closed form solution for the optimum matched receiver filter bank. lit addition, an iterative algorithm that appears to converge for all SINR is proposed to determine the optimum transmit signal vector.

关键词： Closed-form solution Interference Iterative algorithms Layout Polarization Radar clutter sensor arrays signal design signal to noise ratio Transmitters

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Enhanced broadband matched field processing through high resolution techniques

Enhanced broadband matched field processing through high res...

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2nd IEEE sensor array and multichannel signal processing workshop

作者： Bendjama, A Bourennane, S Cors Univ SPE CNRS UMR 6134 F-20250 Corte France

ISBN: (纸本)0780375513

One of the important problems in ocean acoustics is to localize an underwater wideband sound source from the array hydrophone data. Among the algorithms developed, estimation of source parameters via maximum likelihood or beamfonning techniques have been greatly exploited. This paper introduce two algorithms for estimating the wideband parameters. These algorithms are based on the statistics of the received signals : Firstly, a blind algorithm initially introduced by Friedlander et al. [l] is extended to this problem. Secondly a Maximum Likelihood estimator is developed. The performance of the proposed algorithms are studied on the real data recorded during an underwater acoustic experiments. © 2002 IEEE.

关键词： Underwater acoustics

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Spectrum estimation from quantum-limited interferograms

Spectrum estimation from quantum-limited interferograms

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1st IEEE sensor array and multichannel signal processing workshop (SAM 2000)

作者： Fuhrmann, DR O'Sullivan, JA Snyder, DL Smith, WH Washington Univ Dept Elect Engn St Louis MO 63130 USA

ISBN: (纸本)0780363396

A quantitative model for interferogram data collected in a quantum-limited hyperspectral imaging system is derived. This model accounts for the geometry of the interferometer the Poisson noise, and the parameterization of the mean of the noise in terms of the autocorrelation function of the incident optical signal. An estimation-theoretic approach to recovering the image spectrum is derived, based on the likelihood function for the received data. The computations proposed constitute an alternating minimization algorithm.

关键词： Autocorrelation Hyperspectral imaging Hyperspectral sensors Optical imaging Optical interferometry Optical noise Optical sensors Optical signal processing Spectral analysis Spectroscopy

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Throughput of large wireless networks on square, hexagonal and triangular grids

Throughput of large wireless networks on square, hexagonal a...

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4th IEEE sensor array and multichannel signal processing workshop

作者： Hong, Kezhu Hua, Yingbo Univ Calif Riverside Dept Elect Engn Riverside CA 92521 USA

ISBN: (纸本)1424403081

Capacity analysis of sensor networks or wireless ad hoc networks has attracted a great attention in the past years. But the research in this area has primarily focused on scaling laws of arbitrary or random network instead of the exact capacity of given topologies. While the insight into how the capacity of an arbitrary or random network scales with the number of nodes in a given area is important, the exact capacity of a network depends on the network topology and can be more desirable in practice. In this paper, we compare the throughput of a large network with three possible topologies: square (rectangular), hexagonal and triangular. With a given topology, the network throughput also depends on the choice of routing protocols. We follow a synchronous array method (SAM) that is known so far to yield the highest throughout of a network on a rectangular grid.

关键词： Wireless sensor networks

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Beamspace IQML

Beamspace IQML

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1st IEEE sensor array and multichannel signal processing workshop (SAM 2000)

作者： Tian, Z Van Trees, HL George Mason Univ Ctr Excellence C3I Fairfax VA 22030 USA

ISBN: (纸本)0780363396

Iterative quadratic maximum likelihood (IQML) is an efficient approach for estimating the directions of arrival (DOA) of signals impinging on a uniform linear array. It is desirable to apply the IQML method in beamspace SO as to take advantage of the benefits of beamspace operations in terms of reduced computational complexity and improved resolution thresholds. The difficulty with beamspace IQML is that the Vandermonde structure of the array manifold may not preserve during the beamspace transformation. We tackle this obstacle using discrete Fourier transform (DFT) beams and derive a parameterized polynomial in the beamspace dimension. The proposed beamspace IQML algorithm is computationally efficient, and provides satisfactory estimation results.

关键词： IQML estimation beamspace processing polynomial parameterizations discrete Fourier transform matrices

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Receiver Antenna Allocation for Joint Sensing and Communications 13

Receiver Antenna Allocation for Joint Sensing and Communicat...

引用

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

作者： van der Werf, Ids Leus, Geert Chepuri, Sundeep Prabhakar Delft Univ Technol Delft Netherlands Indian Inst Sci Bengaluru India

ISBN: (纸本)9798350344820;9798350344813

We describe the problem of joint sensing and communications (JSAC) using an antenna array where some antennas are used for sensing and some others for communications. The problem is to jointly optimize the sensing and communications performance at the receive side through respectively the CramerRao bound (CRB) on the source angles and the variance of the sources after applying a minimum variance distortionless response (MVDR) beamformer. Both criteria are derived under a two-source scenario and optimized for any position of the two sources. Here one of the sources is considered the source of interest, while the other one models the interference. The performance criteria for sensing and communications are mathematically similar and depend only on the angular difference between the two sources. As a result, they can be elegantly combined and jointly optimized. Our findings are corroborated by simulations under different parameter settings.

关键词： Convex optimization Cramer-Rao bound sensor selection joint sensing and communication multi-target estimation

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Design of 2-dimension sparse arrays using an improved genetic algorithm

Design of 2-dimension sparse arrays using an improved geneti...

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4th IEEE sensor array and multichannel signal processing workshop

作者： Chen, Kesong He, Zishu Han, Chunlin Univ Elect Sci & Technol China Sch Elect Engn Chengdu Dichuan Peoples R China

ISBN: (纸本)1424403081

For the element position synthesis of 2-dimension sparse rectangular arrays with the design constraints of the number of elements, the aperture and the minimum element spacing, an improved genetic algorithm (IGA) based on chromosome element resetting is presented in this paper. Compared with the synthesis method of thinned arrays, this new approach could exploit more degree of freedom of elements to control the characters of the sparse arrays. When the aperture, the number of elements and the minimum element spacing are fixed identical, the new approach can make the sparse plane array produce lower peak sidelobe level (PSLL). The simulated results show that the fitness function value of thinned plane arrays with 108 elements mentioned by Haupt can reduce 5.626dB when the minimum element spacing of half wavelength was introduced into the optimization. And as well, the great efficiency and the robustness of IGA are shown in this paper.

关键词： array processing

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Real-time Kernel-based Multiple Target Tracking for Robotic Beating Heart Surgery

Real-time Kernel-based Multiple Target Tracking for Robotic ...

引用

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

作者： Kurz, Gerhard Baum, Marcus Hanebeck, Uwe D. Karlsruhe Inst Technol KIT Intelligent Sensor Actuator Syst Lab ISAS Karlsruhe Germany Univ Connecticut Storrs CT USA

ISBN: (纸本)9781479914814

Performing surgery on the beating heart has significant advantages for the patient compared to traditional heart surgery on the stopped heart. A remote-controlled robot can be used to automatically cancel out the movement of the beating heart. This necessitates precise tracking of the heart surface. For this purpose, we track 24 identical artificial markers placed on the heart. This creates a data association problem, because it is not known which measurement was obtained from which marker. To solve this problem, we apply a multiple target tracking method based on a symmetric kernel transformation. This method allows efficient handling of the data association problem even for a reasonably large number of targets. We demonstrate how to implement this method efficiently. The proposed approach is evaluated on in-vivo data of a real beating heart surgery performed on a porcine beating heart.

关键词： symmetric measurement equation data association medical image processing

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Compressed Sensing Radar Surveillance Networks

Compressed Sensing Radar Surveillance Networks

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

作者： Schmidt, Aurora Harley, Joel B. Moura, Jose M. F. Carnegie Mellon Univ Dept Elect & Comp Engn Pittsburgh PA 15213 USA

ISBN: (纸本)9781467310710

We study the problem of sensor fusion in a simplified radar surveillance application. A potentially large number of narrowband radars with isotropic antennas monitor a two-dimensional area for an unknown number of targets. We use techniques from compressive sensing to distribute efficient projections of network observations, allowing for reconstruction of the target scene using a single snapshot of sensor data. We avoid the use of a fusion node, allowing all radars to individually estimate target locations after iterative communication with neighboring sensors. We study the robustness of the discretization of continuous target locations, comparing estimation performance of basis pursuit reconstruction methods to a sparse estimator based on a model-robust formulation. We test the approach on simulated scenarios, showing tradeoffs in the resolution of target localization as well as the communication bandwidths required for this inter-radar cooperation scheme.

关键词： distributed radar sensor fusion consensus compressed sensing noise-aware basis pursuit model robust estimation

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Theoretical aspects of array radar imaging via fusing the experiment design and regularization techniques

Theoretical aspects of array radar imaging via fusing the ex...

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2nd IEEE sensor array and multichannel signal processing workshop

作者： Shkvarko, YV Leyva-Montiel, JL IPN CINVESTAV Unidad Guadalajara Guadalajara 45090 Jalisco Mexico

ISBN: (纸本)0780375513

In this paper we address a new approach to solving the radar imaging problems stated and treated as ill-posed inverse problems of restoration of the spatial spectrum pattern of the wavefield sources distributed in the environment by processing the radar data signals distorted in the stochastic measurement channel. By exploiting the idea of combining the experiment design (ED) and descriptive regularization (R) theory methods for scattering inverse problems solution we propose a fused experiment-design-regularization (EDR) technique for radar image formation. With this technique we present the EDR-based interpretation of a family of the conventional array imaging algorithms and propose some their modifications to enhance the resolution performances of the resulting radar images.

关键词： Radar imaging

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