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Beamspace IQML

Beamspace IQML

引用

sensor array and multichannel signal processing workshop

作者： Zhi Tian H.L. Van Trees Center of Excellence George Mason Univ. Fairfax VA USA Center of Excellence in C3I George Mason University Fairfax VA USA

The 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： Discrete Fourier transforms sensor arrays Polynomials Maximum likelihood estimation Direction of arrival estimation Iterative methods Computational complexity signal resolution Multiple signal classification Vectors

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MAP-PF 3D position tracking using multiple sensor array

MAP-PF 3D position tracking using multiple sensor array

引用

sensor array and multichannel signal processing workshop

作者： Kristine L. Bell Richard Pitre Department of Statistics George Mason University Fairfax VA USA RobTre Research Limited Liability Company Clarksville MD USA

The maximum a posteriori penalty function (MAP-PF) approach is applied to three-dimensional (3D) target position tracking of multiple wideband sources using multiple distributed sensor arrays. The track estimation problem is formulated directly from the array data using the maximum a posteriori (MAP) estimation criterion. The penalty function (PF) method of nonlinear programming is used to obtain a tractable solution. A sequential update procedure is developed in which penalized maximum likelihood estimates of target directions-of-arrival (DOAs) and spectra are computed at each array and then used as synthetic measurements in a set of extended Kalman filters. The two steps are coupled via the penalty function. The current target states are used to guide the DOA/spectrum estimation, and the estimated signal spectra control the influence of the DOA estimates from each array on the final track estimates. The algorithm can be implemented in a decentralized manner where DOA/spectrum estimation is performed at the arrays, and track estimation is performed at a central processing site.

关键词： Target tracking Direction of arrival estimation arrays Estimation Spectral analysis Maximum likelihood estimation sensor arrays

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Smart synthetic material arresting cable based on embedded distributed fiber optic sensors

Smart synthetic material arresting cable based on embedded d...

引用

3rd European workshop on Optical Fibre sensors

作者： Mendoza, Edgar Prohaska, John Kempen, Cornelia Bentley, Douglas Murdock, Chad Piatkowski, David White, Lonnie Redondo Opt Inc Redondo Beach CA 90277 USA Cortland Cable Co Cortland NY USA NAVAIR Lakehurst Lakehurst NJ USA

ISBN: (纸本)9780819467614

Redondo Optics Inc. in collaboration with the Cortland Cable Company and the US. Navy under a Navy sponsored SBIR program is in the process of developing an embedded distributed fiber optic sensor (EDIFOSTM) system for the real-time, structural health monitoring, damage assessment, and lifetime prediction of full scale synthetic material arresting gear cables. The EDIFOSTM system uses a distributed array of fiber Bragg grating sensors, sensitive to stress/strain, impact damage, kinking and bending, and temperature, embedded within the strands of a synthetic material arresting cable structure. Fiber Bragg grating sensors are a mature technology typically used for the in-situ structural health monitoring of advanced structures. The periodic grating produces an optical, wavelength-encoded signal whose properties are dependent on the structural, and mechanical environment of the sensor fiber. The FBG sensor interrogation system monitors the status of each of the individual FBG sensors distributed along the embedded sensor fibers and transforms this information in real-time in to a graphical display of the stress/strain and temperature state of the entire arresting gear cable. An alarm system triggers to pinpoint those locations of potential damage.

关键词： Fiber Bragg gratings sensors Fiber optics sensors Prototyping Structured optical fibers Structural health monitoring Digital signal processing Environmental sensing Distributed computing Transform theory

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DynaPA: Dynamic Power Allocation for Improved Exploration-Exploitation in Active Sensing

DynaPA: Dynamic Power Allocation for Improved Exploration-Ex...

引用

sensor array and multichannel signal processing workshop

作者： Parthasarathi Khirwadkar Mehmet Can Hücümenoğlu Piya Pal University of California San Diego

ISBN: (数字)9798350344813

ISBN: (纸本)9798350344820

This paper addresses an adaptive active sensing problem of nonstationary sparse multi-target detection, by dynamically shaping the transmit beampattern of a MIMO radar. In order to strike a better balance between exploration and exploitation (two key ideas in any online decision making problem), a dynamic power allocation algorithm called DynaPA is developed that can redirect exploration energy for exploitation (and vice versa) depending on the environment. Numerical results demonstrate superior performance of DynaPA over existing algorithms with varying target numbers.

关键词： Target tracking array signal processing Heuristic algorithms MIMO radar signal processing algorithms Dynamic scheduling Radar tracking

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Optimizing the performance of the partial adaptive concentric ring array in the presence of prior knowledge

Optimizing the performance of the partial adaptive concentri...

引用

sensor array and multichannel signal processing workshop

作者： L. M. Vicente K. C. Ho Department of Electrical and Computer Engineering University of Missouri Columbia Columbia MO USA

The partial adaptive concentric ring array (CRA) has been successfully applied to 3D beamforming because of its flexibility, faster tracking ability and reduced computation with respect to the fully adaptive CRA. In some cases, prior knowledge regarding some interferences is available so that better beamformers can be designed. The previous method that exploits prior knowledge by using a fixed penalty factor could not guarantee in maintaining a low residual interference and noise level. We propose in this paper an adaptive beamformer that automatically seeks out the optimum penalty factor to achieve the best performance. The proposed beamformer outperforms the previous design in maintaining a higher output signal to interference and noise ratio, even after the characteristics of the interferences have changed. The performance of the proposed beamformer is evaluated through simulations.

关键词： arrays Interference signal to noise ratio Steady-state array signal processing Power generation Correlation

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A New RF Beam Training Method for Multi-user Millimeter Wave Systems

A New RF Beam Training Method for Multi-user Millimeter Wave...

引用

ieee International Conference on Communications (ICC) / Wireless Communications Symposium / 3rd workshop on Optical Wireless Communications (OWC)

作者： Oh, Taeseok Song, Changick Jung, Jaehoon Lee, Inkyu Korea Univ Sch Elect Engn Seoul South Korea Korea Natl Univ Transportat Dept Informat & Commun Engn Chungju South Korea

ISBN: (纸本)9781467389990

When implementing single radio frequency (RF) chain multi-user (MU) millimeter-wave (mmWave) systems, an RF beamforming algorithm with a short beam training overhead is essential. In this paper, we propose a new MU RF beamforming algorithm based on the conventional RF beam training method in ieee 802.11ad. Then, we investigate its asymptotic behavior for a large number of users scenario. We show that the proposed scheme approaches the optimal full search scheme with much reduced beam training latency as the number of users grows. Our simulation results demonstrate that a performance gain of the proposed method over the full search method is about 35% in practical MU mmWave environments in terms of the effective data rate.

关键词： Training Radio frequency array signal processing Channel estimation Antenna arrays Coherence Mobile communication

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Analytical performance evaluation of multi-dimensional Tensor-ESPRIT-based algorithms for strictly non-circular sources

Analytical performance evaluation of multi-dimensional Tenso...

引用

sensor array and multichannel signal processing workshop

作者： Jens Steinwandt Florian Roemer Martin Haardt Communications Research Laboratory Ilmenau University of Technology P.O. Box 100565 98684 Ilmenau Germany Digital Broadcasting Laboratory Ilmenau University of Technology P.O. Box 100565 98684 Ilmenau Germany

ISBN: (纸本)9781509021048

Exploiting inherent signal structure is a common approach towards improving the performance of conventional parameter estimation algorithms. It has recently been shown that the multi-dimensional (rd) nature of the signals and their statistical properties, i.e., their second-order (SO) strictly non-circular (NC) structure, can be exploited simultaneously by R-D NC Tensor-ESPRIT-type algorithms. In this contribution, we develop an analytical first-order performance evaluation of R-D NC Standard Tensor-ESPRIT and R-D NC Unitary Tensor-ESPRIT. The derived expressions are asymptotic in the effective signal-to-noise ratio (SNR), i.e., they become exact for high SNRs or a large sample size. Moreover, apart from a zero mean and finite SO moments, no assumptions on the noise statistics are required. We show that as in the corresponding NC matrix case, the performance of R-D NC Standard Tensor-ESPRIT and R-D NC Unitary Tensor-ESPRIT is asymptotically identical. Simulations verify the derived expressions.

关键词： Tensile stress Standards signal processing algorithms Parameter estimation Algorithm design and analysis sensors Performance evaluation

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Sampling in the Graph signal processing Companion Model

Sampling in the Graph Signal Processing Companion Model

引用

sensor array and multichannel signal processing workshop

作者： John Shi José M.F. Moura Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA

ISBN: (数字)9798350344813

ISBN: (纸本)9798350344820

The classic DSP sampling property: “(Uniform) sampling of a bandlimited signal leads to (perfect) replication in the spectral domain.” does not hold in the vertex Graph signal processing (GSP) model. Sampling uniformly in GSP does not lead to perfect replicas, but rather distorted replicas [1]. In [2], we introduced a Step L-Step 2 Companion Model Method, S2CM 2 , as a way to introduce new GSP concepts. The GSP companion model is closest to the DSP time model (with different boundary conditions), making it easier to extend DSP concepts. In this paper, we consider GSP sampling in the companion model. We show that GSP sampling theory in the companion model is similar to DSP sampling theory by illustrating the four sampling steps: Subsampling, Decimation, Upsampling, Interpolation, in the companion model.

关键词： Interpolation array signal processing Conferences Digital signal processing Boundary conditions Spectral analysis sensor arrays

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An L1-norm linearly constrained LMS algorithm applied to adaptive beamforming

An L1-norm linearly constrained LMS algorithm applied to ada...

引用

sensor array and multichannel signal processing workshop

作者： José F. de Andrade Marcello L. R. de Campos José A. Apolinário Program of Electrical Engineering (PEE)-COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil Department of Electrical Engineering (SE/3) Military Institute of Engineering Rio de Janeiro Brazil

We propose in this work an L 1 -norm Linearly-Constrained Least-Mean-Square (L 1 -CLMS) algorithm. In addition to the linear constraints present in the CLMS algorithm, the L 1 -CLMS algorithm takes into account an L 1 -norm penalty on the filter coefficients. The performance of the L 1 -CLMS algorithm is evaluated for a time-varying system identification under Gaussian noise and for an adaptive beamforming scenario. The effectiveness of the L 1 -CLMS algorithm is demonstrated by comparing, via computer simulations, its results with the CLMS algorithm. When employed in a sensor array, the L 1 -norm constraint increases the convergence rate making the proposed algorithm a good candidate for adaptive beamforming applications.

关键词： signal processing algorithms arrays Convergence array signal processing Heuristic algorithms Azimuth Vectors

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3-D imaging for ground penetrating radar using compressive sensing with block-toeplitz structures

3-D imaging for ground penetrating radar using compressive s...

引用

sensor array and multichannel signal processing workshop

作者： Kyle Krueger James H. McClellan Waymond R. Scott School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

Compressive sensing (CS) techniques have shown promise for sparse imaging applications such as ground penetrating radar (GPR). However, CS involves the enumeration of a dictionary which implies huge storage requirements when the problem is large and multidimensional. This paper shows that the underlying propagation model can have invariance properties that simplify the dictionary. Specifically, translational invariance in the GPR case leads to a block-Toeplitz structure that can be exploited to reduce both the storage, by a factor of N in each block-Toeplitz dimension, and the computational complexity. Exploiting this reduction in storage for the 3-dimensional GPR imaging problem makes the CS solution feasible for underground object detection.

关键词： Ground penetrating radar Dictionaries Radar imaging Compressed sensing Frequency measurement signal to noise ratio

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