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2004 sensor array and multichannel signal processing workshop

作者： Mestre, Xavier Lagunas, Miguel A. Nexus I Building c/Gran Capitá 2-4 2a planta Barcelona 08034 Spain

ISBN: (纸本)0780385454

Diagonal loading is a commonly used technique that improves the robustness of minimum variance beamformers against multiple impairments. In this paper, we concentrate on the application of diagonal loading to mitigate the finite sample size effect. Up to now, the actual loading factor for this problem was chosen via rather ad-hoc approximations. Here, we propose an estimator of this factor that is optimum in the sense that maximizes the asymptotic signal to noise plus interference ratio (SINR) at the output of the beamformer. Our estimator is consistent even when the number of array elements is driven to infinity with the sample size, and consequently has an excellent performance even when the quotient between the number of observations and the number of elements of the array is low. © 2004 ieee.

关键词： Robustness (control systems)

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Bayesian processing for the detection of radioactive contraband from uncertain measurements

Bayesian processing for the detection of radioactive contrab...

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2nd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing

作者： Candy, James V. Sale, Kenneth Guidry, Brian L. Breitfeller, Eric Manatt, Douglas Chambers, David Meyer, Alan Lawrence Livermore Natl Lab Livermore CA 94551 USA

ISBN: (纸本)9781424417131

With the increase in terrorist activities throughout the world, the need to develop techniques capable of detecting radioactive contraband in a timely manner is a critical requirement. The development of Bayesian processors for the detection of contraband stems from the fact that the posterior distribution is clearly multimodal eliminating the usual Gaussian-based processors. The development of a sequential bootstrap processor for this problem is discussed and shown how it is capable of providing an enhanced signal for eventual detection.

关键词： Radioactivity

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Distributed classification of Gaussian space-time sources in wireless sensor networks

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ieee JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2004年第6期22卷 1026-1036页

作者： D'Costa, A Ramachandran, V Sayeed, AM Univ Wisconsin Dept Elect & Comp Engn Madison WI 53706 USA

Distributed signal processing techniques for classification of objects are studied assuming knowledge of sensor measurement statistics. The spatio-temporal signal field generated by an object is modeled as a bandlimited stationary ergodic Gaussian field. The model. suggests a simple abstraction of correlation between node measurements: it partitions the network into disjoint spatial coherence regions over which the signal remains strongly correlated, whereas the signal in distinct coherence regions is approximately uncorrelated. The size of coherence regions is determined by spatial signal bandwidths. It is shown that this partitioning imposes a structure on optimal distributed classification algorithms that is naturally suited to the communication constraints of the network: local high-bandwidth exchange of feature vectors within each coherence region to improve the measurement signal-to-noise ratio (SNR), and global low-bandwidth exchange of local decisions across coherence regions to stabilize the inherent variability in the signal. Classifier performance is analyzed for both soft and hard decision fusion across coherence regions assuming noise-free, as well as noisy communication links between nodes. Under mild conditions, the probability of error of all classification schemes (soft, hard, noisy) decays exponentially to zero with the number of independent node measurements.-the error exponent depends on both the measurement and communication SNRs and decreases from soft to hard to noisy, fusion. Numerical results based on real data illustrate the remarkable advantage of multiple sensor measurements in distributed decision making.

关键词： Chernoff bounds distributed classification error exponents sensor networks signal modeling

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Near field imaging of subsurface targets using active arrays and elastic waves

Near field imaging of subsurface targets using active arrays...

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2004 ieee 11th Digital signal processing workshop and 2nd ieee signal processing Education workshop

作者： Alam, Mubashir McClellan, James H. Ctr. of Signal and Image Processing Sch. of Elec. and Comp. Engineering Georgia Institute of Technology Atlanta GA 30332-0250

ISBN: (纸本)0780384342

This paper presents a time-reversal based approach for detecting the positions of subsurface passive targets like landmines. The measurements are made by using sources and sensors placed on the surface. The imaging algorithm will use the seismic waves reflected from the targets, and measured on the surface. A time reversal based algorithm is used, which utilizes the possible link between the time-reversal matrix and the covariance matrix used in standard array processing. It will be shown that the time-reversal matrix can be used to estimate the near field DOA and range parameters using a 2-D MUSIC approach. © 2004 ieee.

关键词： Imaging techniques

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Aligned Widely Linear Beamforming 2

Aligned Widely Linear Beamforming

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2nd ieee International Conference on Information Communication and signal processing (ICICSP)

作者： Xu, Yougen Huang, Yulin Liu, Junfeng Beijing Inst Technol Sch Informat & Elect Beijing Peoples R China

ISBN: (纸本)9781728151021

Two data alignment based widely linear (WL) beamformers are proposed for the extraction of a wideband signal of interest (SOI) contaminated by sensor noise and wideband interferences. Both beamformers are designed under the criterion of linearly constrained minimum variance, applied to the aligned and (conjugate) augmented array output. The first beamformer requires no prior knowledge/estimation of any SOI noncircularity parameter, while the second one requires the prior knowledge/estimation of the SOI noncircularity phase. For the practical realization of the second beamformer, two pre-processing based schemes are developed for estimating the needed SOI noncircularity phase (the SOI noncircularity rate is assumed to be known in advance). The efficacy of the presented wideband WL beamformers has been verified by simulation results.

关键词： array signal processing adaptive array wideband widely linear

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Single snapshot DOA estimation in the presence of mutual coupling for arbitrary array structures

Single snapshot DOA estimation in the presence of mutual cou...

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2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Elbir, Ahmet M. Engin Tuncer, T. Dept. of Electrical and Electronics Engineering Middle East Technical University Ankara06800 Turkey

ISBN: (纸本)9781509021031

In this paper, single snapshot direction-of-arrival (DOA) estimation under mutual coupling (MC) is considered with arbitrary array structures. A compressed sensing approach is utilized and a joint-sparse recovery algorithm is proposed. In this respect, both spatial source directions and MC coefficients are embedded into ajoint-sparse vector. A new dictionary matrix is defined using the symmetricity of MC matrix. The proposed approach does not depend on the structure of MC matrix and it is suitable for any type of array geometry. In the simulations, the proposed method is evaluated for a planar array where the antennas are placed randomly in 2-D space. It is shown that the proposed method effectively estimates the source parameters and performs significantly better than the alternative methods. © 2016 ieee.

关键词： Compressed sensing

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Performance improvement for wideband DOA estimation with white noise reduction based on uniform linear arrays

Performance improvement for wideband DOA estimation with whi...

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2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Anbiyaei, Mohammad Reza Liu, Wei McLernon, Des C. Communications Research Group Department of Electronic and Electrical Engineering University of Sheffield SheffieldS1 3JD United Kingdom Signal Processing for Communications Group School of Electronic and Electrical Engineering University of Leeds LeedsLS2 9JT United Kingdom

ISBN: (纸本)9781509021031

A method is proposed for reducing the effect of white noise in wideband uniform linear arrays via a combination of a judiciously designed transformation followed by highpass filters. The reduced noise level leads to a higher signal to noise ratio for the system, which can have a significant effect on the performance of various direction of arrival (DOA) estimation methods. As a representative example, the compressive sensing-based wideband DOA estimation method is employed here to demonstrate the improved estimation performance, this is confirmed by simulation results. © 2016 ieee.

关键词： White noise

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Experimental Study of PD Direction Finding Based on Stereo Ultrasonic array sensor of EFPI 2

Experimental Study of PD Direction Finding Based on Stereo U...

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2nd ieee Conference on Energy Internet and Energy System Integration (EI2)

作者： Wang, Peng Wang, Wei Du, Jian Zheng, Liwei Beijing Key Lab High Voltage & EMC Beijing Peoples R China

ISBN: (纸本)9781538685495

The partial discharge ultrasonic array positioning technique combines the sensor array with the array signal processing method. In this paper, the Extrinsic Fabry-Perot Interferometric optical fiber ultrasonic sensor was used. It has the high sensitivity and is not affected by electromagnetic interference. And take full advantage of the EFPI sensor what can be placed in the oil to improve the array structure. First a four-element EFPI ultrasonic sensor array of regular tetrahedral structure was designed, which was placed in the fuel tank to detect the local ultrasonic signal. Then, the MUSIC algorithm was used to measure the local discharge source;and compared result with the 2x2 planar array. Finally, the correction is performed for the position error of the array element. The results show that the EFPI sensor stereo array can detect the partial discharge signal with high SNR in the oil, and has higher direction finding accuracy than traditional planar arrays. Especially in the aspect of array blind zone, the stereo array can effectively realize spatial multi-angle source direction finding. And TCT algorithm is used to correct the position error of the array element, which improves the direction finding accuracy, and satisfy the actual project needs.

关键词： Partial discharge sensor array EFPI sensor TCT algorithm regular tetrahedral structure

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Rooting versus joint diagonalization in 2-D harmonic retrieval

Rooting versus joint diagonalization in 2-D harmonic retriev...

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2004 sensor array and multichannel signal processing workshop

作者： Pesavento, Marius Böhme, Johann F. Signal Theory Group Ruhr University Bochum D-44780 Germany

ISBN: (纸本)0780385454

We address the problem of estimating the harmonics of a two-dimensional exponential mixture. A new algorithms that exploits the multiple-invariance structure is proposed. Unlike previous ESPRIT type methods for two- or multi-dimensional harmonic estimation that are based on joint diagonalization the new algorithm uses polynomial rooting to efficiently obtain the parameters of interest. We reveal a close relations to the recently proposed MD-RARE and show that in the new algorithm, referred to as the rooted multiple-invariance MD-ESPRIT, the degrees of the characteristic polynomials are reduced by a factor two compared to the MD-RARE polynomials. This leads to lower computational complexity and improved numerical stability of the estimation procedure. ©2004 ieee.

关键词： Problem solving

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Kalman filtering using bearings-only measurements from a network of acoustic arrays 10

Kalman filtering using bearings-only measurements from a net...

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10th ieee Digital signal processing workshop, DSP 2002 and the 2nd ieee workshop on signal processing Education, SPE 2002

作者： Le Lance, Q. Kaplan, M. McClellan, J.H. Dept. of Computer Science Center for Theoretical Studies of Physical Systems Clark Atlanta University AtlantaGA30314 United States Dept. of Engineering Center for Theoretical Studies of Physical Systems Clark Atlanta University AtlantaGA30314 United States CSIP School of Elec. and Comp. Eng. Georgia Institute of Technology AtlantaGA30332-0250 United States

ISBN: (纸本)0780381165

This work investigates different methods to track a target using bearing measurements for a large number of sensor nodes. The performances of the tracking methods: linear Kalman filtering (LKF), extended Kalman filtering (EKF) and unscented Kalman filtering (UKF) are compared under the different propagation models and parameter settings. Simulation results show that under low bearing error the three filters achieve similar performances. © 2002 ieee.

关键词： sensor nodes

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