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Imaging and Detector Framework for Seismic Landmine Detection

Imaging and Detector Framework for Seismic Landmine Detectio...

引用

sensor array and multichannel signal processing workshop

作者： M. Alam J.H. McClellan Center for Signal and Image Processing Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta GA USA

In this paper, we consider the problem of detecting and locating buried landmines and subsurface objects by using seismic waves measured with sources and receivers on the surface. An imaging algorithm is proposed which uses the separated forward and reflected waves obtained via a Prony-based spectrum analysis technique. The imaging algorithm is followed by an energy detector. The resulting algorithms will are verified by using the experimental data containing mines and clutter

关键词： Landmine detection Detectors sensor arrays Seismic waves Surface waves Data mining Resonance Laboratories Testing Image reconstruction

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CRB Analysis of the Impact of Unknown Receiver Noise on Phased array Calibration

CRB Analysis of the Impact of Unknown Receiver Noise on Phas...

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sensor array and multichannel signal processing workshop

作者： S. van der Tol S.J. Wijnholds Department Electrical Engineering /DIMES Delft University of Technnology Delft Netherlands Research and Development Department ASTRON Dwingeloo Netherlands

In radio astronomy images are made of astronomical objects as they appear at radio frequencies using a technique called aperture synthesis. signals from several antennas are correlated and integrated over time. The data collected over several hours are further processed to calibrate the instrument and to form an image or intensity map. The calibration and imaging algorithms do not use the autocorrelations because the receiver noise is unstable and hence considered unknown. In literature the Cramer Rao bound for the calibration problem has been derived assuming that the autocorrelations are part of the available data. If the assumption is correct that the autocorrelations do not contain useful information when the receiver noise is unknown, than the CRB for the case that the autocorrelations are not part of the data will be the same. In this paper we will derive the CRB excluding the autocorrelations and show that it indeed does not matter whether the autocorrelations are included or not

关键词： Phased arrays Phase noise Calibration Autocorrelation Receivers Radio astronomy Radio frequency Apertures signal synthesis Instruments

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Evaluation and Tuning of a SAR Detector using Sparse-array Spotlight Mode Simulations

Evaluation and Tuning of a SAR Detector using Sparse-Array S...

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sensor array and multichannel signal processing workshop

作者： R. Linnehan J. Schindler D. Brady Air Force Research Laboratory MA USA Anteon Corporation MA USA ECE Department ECE Department Northeastern University Boston MA USA

We describe a method of tuning a simple detection process of stationary targets in SAR images. The tuning metric accounts for the squared-error performance of prescient estimators of target location and reflectivity. The efficiencies of these prescient estimators are compared to their Cramer Rao bounds (CRBs). The off-line tuning is performed by collecting statistics of scatterer estimation in SAR images created using sparse-array spotlight mode simulations

关键词： Detectors Radar scattering Reflectivity Apertures Frequency Noise level Computational modeling Pixel signal processing Force sensors

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2006 ieee SAM - Copyright

2006 IEEE SAM - Copyright

引用

sensor array and multichannel signal processing workshop

Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center. The papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. They reflect the authors' opinions and, in the interests of timely dissemination, are published as presented and without change. Their inclusion in this publication does not necessarily constitute endorsement by the editors or the Institute of Electrical and Electronics Engineers, Inc.

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Analysis of Source Localization in Reverberant Environments

Analysis of Source Localization in Reverberant Environments

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sensor array and multichannel signal processing workshop

作者： J.M. Peterson C. Kyriakakis Immersive Audio Laboratory Integrated Media Systems Center Viterbi School of Engineering USC University of Southern California Los Angeles CA USA

Several source localization algorithms have been proposed in the literature for acoustical source localization. Many of these algorithms make use of the generalized cross correlation (GCC). In order to facilitate the comparison between algorithms, the properties of the GCC should be as well understood as possible. In this work, it will be shown that by changing the assumptions on the signal, a more accurate model of the GCC can be obtained. This model will be used in several scenarios to compare localization algorithms

关键词： Microphones sensor arrays Acoustic noise Delay effects Reflection Laboratories Viterbi algorithm Acoustical engineering Acoustic sensors Delay estimation

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The Hybrid Cramer-Rao Lower Bound - From Practice to Theory

The Hybrid Cramer-Rao Lower Bound - From Practice to Theory

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sensor array and multichannel signal processing workshop

作者： H. Messer School of Electrical Engineering Tel-Aviv University Israel

In 1987, Rockah and Schultheiss (1987) introduced the hybrid Cramer-Rao lower bound (HCRLB ) as an extension of the classical Cramer-Rao bound (CRLB). Whereas the classical CRLB is applicable to the estimation of non-random parameters, and the Bayesian CRLB applies to random parameters, the HCRLB is applicable to the joint estimation of random and non-random parameters. In this paper was review the basic theory of the multi-parameter Cramer-Rao type bounds in a unified framework. Then, we discus the limitations of the HCRLB which may explain why it has not been introduced till needed for a certain array processing application, where it has shown to be useful

关键词： Bayesian methods Covariance matrix Cramer-Rao bounds Estimation error Parameter estimation array signal processing Books Mean square error methods Density measurement Probability density function

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IMP-Based Fast Adaptive Beamforming Algorithms

IMP-Based Fast Adaptive Beamforming Algorithms

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sensor array and multichannel signal processing workshop

作者： M. Tanaka H. Saitoh A. Sano Department of System Design Engineering Keio University Yokohama Japan

This paper is concerned with new fast adaptive beamforming algorithms which are based on the internal model principle, to deal with fast fading environment to track the desired signal changes and suppress the interferences. The LMS and RLS algorithms for constructing nulls are derived by incorporating an AR model into the weight dynamics, and then can track fast fading environment. The convergence analysis of mean and mean-square error of the weight vector are also investigated and stability condition is clarified. Numerical simulation results show that the proposed algorithms can improve tracking ability and BER performance in DS-CDMA systems

关键词： array signal processing Fading Interference suppression Least squares approximation Resonance light scattering Convergence Stability analysis Numerical simulation Bit error rate Multiaccess communication

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signal Strength Localization Bounds in Ad Hoc and sensor Networks when Transmit Powers are Random

Signal Strength Localization Bounds in Ad Hoc and Sensor Net...

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sensor array and multichannel signal processing workshop

作者： N. Patwari A.O. Hero Department of Electrical Engineering & Computer Science University of Michigan Ann Arbor USA

sensor localization bounds have been derived assuming that received signal strength (RSS) measurements are performed with perfectly known sensor transmit powers. In this paper the Bayesian Cramer-Rao bound is derived assuming transmit powers are random with known prior distribution. Further, both directional measurements on each link, from i to j and from j to i, and their correlation, are explicitly considered. Results show that random transmit powers have a small (5-13%) impact on coordinate estimation bounds. However, using only the average of the directional measurements can significantly increase these bounds

关键词： Intelligent networks Acoustic sensors Wireless sensor networks Acoustic measurements Particle measurements Bayesian methods Computer science Electric variables measurement Performance evaluation Humans

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Utility-Based MIMO Uplink Beamforming

Utility-Based MIMO Uplink Beamforming

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sensor array and multichannel signal processing workshop

作者： J. Duplicy J. Louveaux L. Vandendorpe Communications and Remote Sensing Laboratory Department of Electrical Engineering Université catholique de Louvain Louvain-la-Neuve Belgium

This paper addresses the design of transmit and receive beamformers in a multiple-input multiple-output (MIMO) uplink system. To optimize the beamformers, we introduce a new utility function defined as a weighted difference between users' rates and their transmit power. This new criterion allows to take into account whether the users are more rate-sensitive or power-sensitive. Beamformers and power allocation are iteratively computed by resorting to the framework of non-cooperative game theory

关键词： MIMO array signal processing Multiaccess communication Antenna arrays Base stations Game theory Batteries Adaptive arrays Downlink Frequency division multiplexing

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Cognitive Radar Networks

Cognitive Radar Networks

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sensor array and multichannel signal processing workshop

作者： S. Haykin McMaster University Hamilton ONT Canada

This paper describes the use of cognitive radar networks for the reliable surveillance of an environment where the likelihood of the presence of uncooperative targets is high. Despite the limited effectiveness of amplitude as a radar discriminant, through the clever use of detection through tracking, the detection performance of the noncoherent radar is enhanced. Further improvement in overall performance can be attained through the adaptive illumination of the environment, made possible by linking the receiver to the transmitter via a feedback channel, which, in turn, makes the tracking adaptive, and sensor fusion performed in the central base station

关键词： Radar tracking Radar detection Surveillance Target tracking Lighting Joining processes Transmitters Feedback sensor fusion Base stations

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