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The time-reversal technique re-interpreted: subspace-based signal processing for multi-static target location

The time-reversal technique re-interpreted: subspace-based s...

引用

sensor array and multichannel signal processing workshop

作者： H. Lev-Ari A.J. Devancy Department of Electrical and Computer Engineering Northeastern University Boston MA USA Northeastern University Boston MA US

The time-reversal field processing technique for active remote sensing is re-interpreted in the conceptual framework of subspace-based signal processing. Though both of these subjects have a long and extensive history, we believe that our work is the first to relate these two rather different signal processing approaches. The concept at the heart of both approaches is the multi-static frequency response matrix (FRM) of the active antenna array. It is a function of array/scatterer geometry (via a suitable Green function) and of the scatterers' reflection coefficients. The time-reversal technique locates the most reflective target by determining the largest singular value of the FRM and the corresponding (right) singular vector. Consequently, it performs well only when the scatterers are "well-resolved," i.e., when the Green function vectors used in forming the FRM are approximately orthogonal to each other. In contrast, we show that subspace-based signal processing can be successfully used even when the targets are not "well-resolved." Moreover, the performance of our subspace-based schemes can be further enhanced by using wideband signals and combining FRM information from multiple frequencies. The coupling of time-reversal field processing with subspace methods leads to a powerful approach for locating targets under arbitrary wave-propagation conditions (both near-field and far-field), including arbitrary non-homogeneous media and arbitrary geometries.

关键词： Scattering array signal processing Geometry Green function signal processing Remote sensing History Heart Frequency response Antenna arrays

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DoA Estimation Performance of UCAs with Reduced Number of sensors using Phase-Mode Transformation and Small Sample Support

DoA Estimation Performance of UCAs with Reduced Number of Se...

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sensor array and multichannel signal processing workshop

作者： Guilherme Murmel Liali José A. Apoliná rio Marcello L. R. De Campos Antonio L. L. Ramos Dept. Defense Military Institute of Engineering Rio de Janeiro Brazil Dept. Electrical Engineering Military Institute of Engineering Rio de Janeiro Brazil Prog. Electrical Engineering Federal Univ. of Rio de Janeiro Rio de Janeiro Brazil Dept. Science and Industry Systems University of South-Eastern Norway Kongsberg Norway

In this work, we assess the performance of a Uniform Circular array featuring a reduced number of sensors and using small sample support comprised of only a few snapshots. We begin by analyzing the limitations of the phase-mode transformation in the context of a uniform circular array with a reduced number of sensors. Next, we address the challenging issue of having limited sample support, followed by a brief discussion of the techniques that can be used to mitigate the degradation caused by the two aforementioned problems. Several experiments are conducted to evaluate the DoA estimation performance of narrowband acoustic signals in different scenarios, having water as propagating media.

关键词： Phased arrays Degradation Direction-of-arrival estimation array signal processing Conferences Estimation Media

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The array Geometry Design in Airborne Microwave 2-D Direction Finding

The Array Geometry Design in Airborne Microwave 2-D Directio...

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sensor array and multichannel signal processing workshop

作者： Cheol-Sun Park Won Jang Dae-Young Kim EW Laboratory Agency for Defence Development South Korea Department of Information & Communication Engineering Chungnam National University South Korea

ISBN: (纸本)1424403081

The resolving ambiguity of phase interferometer is necessary when the baseline separation between elements exceeds half wavelength since the phase difference between elements can only be measured modulo 2pi. It is difficult to meet the condition the minimum distance between two antennas is less than half wavelength for avoiding ambiguity in wideband operation. In this paper, we propose a simple and efficient array design method which minimizes the probability of ambiguity. This method adapts NLA (nonuniform linear array) geometry. And there is no need to maintain the distance between antennas less than half wavelength. We also show some numerical examples and experimental results of the 2-D array prototype for airborne application

关键词： Microwave antenna arrays Broadband antennas Antenna measurements Phase measurement Wavelength measurement Design methodology Adaptive arrays Linear antenna arrays Information geometry Prototypes

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Performance Analysis of Multi-Hop Relaying Cooperation for Internet-of-Things System

Performance Analysis of Multi-Hop Relaying Cooperation for I...

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sensor array and multichannel signal processing workshop

作者： Baofeng Ji Bingbing Xing Huahong Ma Chunguo Li Hong Wen Luxi Yang Institute of Atmospheric Physics of Chinese Academy of Sciences Beijing China School of Information Engineering Henan University of Science and Technology Luoyang China University of Electronic Science and Technology of China Chengdu China School of Information Science and Engineering Southeast University Nanjing China

Performance analysis is studied in this paper for the wireless transmissions in Internet-of-things (IoT) system, where both the direct link and the multi-hop relaying caching wireless transmission from the source node to the destination node are taken into the consideration. The key feature is the Nakagami channels of the wireless channel from the source node to the destination node, which results in the difficulty of the theoretical analysis over the system performance. To tackle this difficulty, the probability distribution function (PDF) of the received signal to noise ratio (SNR) at the destination node is derived by exploiting the function and integral properties. Then, the outage probability and bit error rate(BER) of the whole wireless IoT system are derived in the analytical expression without any approximation. Numerical simulations demonstrate the accuracy of the derived theoretical analysis for this system.

关键词： Relays Wireless communication Wireless sensor networks Manganese Probability density function signal to noise ratio Power system reliability

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Parametric Bootstrapping of array Data with A Generative Adversarial Network

Parametric Bootstrapping of Array Data with A Generative Adv...

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sensor array and multichannel signal processing workshop

作者： Peter Gerstoft Herbert Groll Christoph F. Mecklenbräuker University of California San Diego La Jolla CA Inst. of Telecommunications Wien Austria

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

Since the number of independent array data snapshots is limited by the availability of real-world data, we propose a parametric bootstrap for resampling. The proposed parametric bootstrap is based on a generative adversarial network (GAN) following the generative approach to machine learning. For the GAN model we chose the Wasserstein GAN with penalized norm of gradient of the critic with respect to its input (wGAN gp). The approach is demonstrated with synthetic and real-world ocean acoustic array data.

关键词： array signal processing Oceans Machine learning Games Generative adversarial networks Acoustic arrays Generators

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Identical Partitioning of Consecutive Integer Set

Identical Partitioning of Consecutive Integer Set

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sensor array and multichannel signal processing workshop

作者： Yimin D. Zhang Shunqiao Sun Department of Electrical and Computer Engineering Temple University Philadelphia PA USA Department of Electrical and Computer Engineering The University of Alabama Tuscaloosa AL USA

ISBN: (数字)9798350344813

ISBN: (纸本)9798350344820

In this paper, we develop a scheme to partition a one- or multi-dimensional consecutive integer number set into multiple identical, possibly rotated, subsets. The proposed technique first exploits one-dimensional nested subsets, and the results are extended to achieve two- and multi-subset partitioning as well as in two- and multi-dimensional spaces. The number of consecutive lags in each case is examined. The results are useful to various sensing and communication applications, and sparse step-frequency waveform design for range estimation in automotive radar is demonstrated as an example.

关键词： array signal processing Conferences Estimation Radar signal processing sensors Radar applications sensor arrays

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DOA Estimation Exploiting Interpolated Multi-Frequency Sparse array

DOA Estimation Exploiting Interpolated Multi-Frequency Spars...

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sensor array and multichannel signal processing workshop

作者： Shuimei Zhang Ammar Ahmed Yimin D. Zhang Shunqiao Sun Department of Electrical and Computer Engineering Temple University Philadelphia PA USA Department of Electrical and Computer Engineering The University of Alabama Tuscaloosa AL USA

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

We consider gridless direction-of-arrival (DOA) estimation of much more targets than the number of physical sensors through the exploitation of multi-frequency sparse array design and processing which increase the degrees of freedom as more frequency components are used. A modified sensor interpolation technique is developed to accurately estimate the signal covariance matrix using very few snapshots, thereby eliminating the requirement of a large number of snapshots as in conventional different coarray-based DOA estimation. Simulation results demonstrate high-resolution gridless DOA estimation capability of more targets than the number of physical sensors.

关键词： Interpolation Direction-of-arrival estimation array signal processing Simulation Estimation Parallel processing sensors

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One-side Extended Nested array for Degree of Freedom Enhancement

One-side Extended Nested Array for Degree of Freedom Enhance...

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sensor array and multichannel signal processing workshop

作者： Shiwei Ren Wentao Dong Xiangnan Li Su Yan Haixia Wu Weijiang Wang Department of Signal and Electronics Beijing Institute of Technology Beijing China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

In this paper, an extended nested array strategy is proposed for degree of freedom (DOF) enhancement. Based on the augmented nested array (ANA), with the inter-element spacings in the side subarray increased, the strategy provides the possibility to acquire higher number of DOF than the existing nested-like arrays, such as the nested array, ANA, improved nested array and the maximum inter-element spacing constraint array. The one-side extended nested array (OS-ENA) is specifically proposed based on the ENA strategy, which can successfully avoid the holes brought by the sparse distribution of sensors and increase the DOF. The analytical expressions of sensor locations and DOF are derived. Simulations of the direction-of-arrival estimation verify the superiorities of the proposed OS-ENA with the spacial smoothing MUSIC algorithm used.

关键词： Direction-of-arrival estimation Smoothing methods array signal processing Simulation Conferences signal processing algorithms sensors

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Antenna array configurations for massive MIMO outdoor base stations

Antenna array configurations for massive MIMO outdoor base s...

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sensor array and multichannel signal processing workshop

作者： Xavier Artiga Julien Perruisseau-Carrier Ana I. Pérez-Neira Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) Barcelona Spain Adaptive MicroNano Wave Systems Group Ecole Poly technique Federale de Lausanne (EPFL) Lausanne Switzerland

Massive MIMO predicts unprecedented capacity and energy efficiency improvements in future networks, by the use of base stations with hundreds of antennas. However the crucial question of determining suitable, or even optimal, antenna hardware solutions for deploying such a large number of antennas in constrained physical spaces is still open. Here we analyse the potential benefits of using compact arrays, dual-polarized arrays, and 2D arrays in outdoor scenarios using a realistic 3D spatial channel model and accurate antenna electromagnetic simulations. In particular we show that it is detrimental to reduce the distance between elements below λ/3. Actually, better performances can be achieved by increasing the number of antennas using dual polarization instead (if random polarization of user antennas is assumed). We also show that good performance can be achieved by using 2D arrays, but at the expense of an increased number of total elements when compared to horizontal linear arrays.

关键词： arrays Mutual coupling MIMO Antenna arrays signal to noise ratio Channel models

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Time-frequency matched field processing for time varying sources

Time-frequency matched field processing for time varying sou...

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sensor array and multichannel signal processing workshop

作者： R.M. Dizaji N.B. Chapman R.L. Kirlin Electrical and Computer Engineering Department University of Victoria Victoria BC Canada School of Earth and Ocean Sciences University of Victoria Victoria BC Canada

Deterministic broadband time-varying pulses such as chirp signals are widely used in seismic applications to determine the layering structure of the earth. Various broadband matched field processors (MFP) which have been already developed for use in inversion rely on only their frequency distribution so their performance fails in the presence of similar powerful broadband correlated noises. Because chirp and other deterministic time-varying signals have distinct signatures in time-frequency space, we have introduced a cross relation based MFP in time-frequency space that incorporates these signatures in the processing to counter the effect of broadband correlated noises in the received data. Additionally, white noise can be removed by using a cross-cross relation (CCR) time-frequency (TF)-MFP that contains only cross components of the received signals in its structure. We demonstrate the advantages of this process over the conventional MFPs to date.

关键词： Time frequency analysis Transfer functions Equations signal processing sensor arrays Acoustic sensors Oceans White noise Acoustic measurements Sea measurements

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