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Transmitted Beampattern Synthesis with Waveform Diverse arrays Based on Arctangent Function 10

Transmitted Beampattern Synthesis with Waveform Diverse Arra...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Wang, Zhonghan Song, Yaoliang Mu, Tong Nanjing Univ Sci & Technol Sch Elect & Opt Engn Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781538647523

In this paper, we apply a nonlinear frequency modulation scheme based on arctangent function to waveform diverse array system to design a transmitted beampattern to focus the signal power at a specific position. Distinct from most of the existing methodologies, the proposed method overcomes the problem that the focusing performance of the signal power will decrease when considering the propagation process of the transmitted signal. As a result, the transmitted signal power can be focused at a desired position and be lasting for a period of time. Numerical simulations validate the theoretical analysis of the proposed methodology.

关键词： transmitted beampattern waveform diverse array beampattern synthesis signal power focusing

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An approach to active sensor imaging

An approach to active sensor imaging

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4th ieee sensor array and multichannel signal processing workshop

作者： Demirkol, Askin Acar, Levent Woodley, Robert S. Univ Missouri Dep El & Comp Eng Rolla MO 65401 USA 21st Century Syst Inc Fort Leonard Wood MO USA

ISBN: (纸本)1424403081

In this paper, an alternative Target Density Function (TDF) is proposed to image the radar targets in a dense target environment. It is obtained by considering a novel range and scanning angle plane different from the conventional methods. An alternative method is briefly proposed for smoothing the target density function by taking advantage of Walsh functions. Although the imaging is obtained via the phased array radars, the problem associated with beamforming in linear phased array radar system is bypassed in this new algorithm.

关键词： Radar imaging

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Underdetermined DOA Estimation of Quasi-Stationary signals in the Presence of Malfunctioning sensors 11

Underdetermined DOA Estimation of Quasi-Stationary Signals i...

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ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Sun, Weize Xu, Chuangxiang Huang, Yingying Huang, Lei nShenzhen Univ Guangdong Lab Artificial Intelligence & Cyber Eco Shenzhen Peoples R China Shenzhen Univ Guangdong Lab Artificial Intelligence & Cyber Eco Shenzhen Peoples R China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119465

This paper address the problem of direction-of-arrival (DOA) estimation of quasi-stationary signals based on uniform linear array with malfunctioning sensors. By utilizing the subspace structures of the local second-order statistics of quasi-stationary signals, a Khatri-Rao subspace approach is developed. Our scheme first collects the local covariance matrices of the source signals and then transfers them into a new virtual linear array which can identify at least twice as much DOAs as to the original physical one. It is also shown that the coprime configuration is a special case of the proposed model therefore the same techniques can be applied directly. Simulations are also carried out for the comparison of the proposed algorithm and state-of-the-art approaches.

关键词： parameter estimation direction-of-arrival estimation malfunctioning sensors coprime array

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Unambiguous AOA Estimation Using SODA Interferometry for Electronic Surveillance

Unambiguous AOA Estimation Using SODA Interferometry for Ele...

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

作者： Ly, Peter Q. C. Elton, Stephen D. Gray, Douglas A. Li, Joy Def Sci & Technol Org Elect Warfare & Radar Div Edinburgh SA 5111 Australia Univ Adelaide Sch Elect & Elect Engn Adelaide SA 5006 Australia

ISBN: (纸本)9781467310710

This paper presents two fast and computationally efficient interferometric algorithms that allow high accuracy, unambiguous angle-of-arrival (AOA) estimates to be obtained using physically large wideband antennas that are suitable for electronic surveillance. The performance of the algorithms are compared against conventional interferometric techniques using simulations and are also verified experimentally.

关键词： angle of arrival interferometry second order difference array ambiguity resolution

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Iterative compensation of microphone array and sound source movements based on minimization of arrival time differences

Iterative compensation of microphone array and sound source ...

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3rd ieee sensor array and multichannel signal processing workshop

作者： Horiuchi, T Mizumachi, M Nakamura, S ATR Spoken Language Translat Res Labs Kyoto 6190288 Japan

ISBN: (纸本)0780385454

This paper proposes an iterative compensation method to deal with relative change of sound source location caused by rapid movements of a microphone array and a sound source. This method introduces a delay filter that has shifted and sampled sinc functions. This paper presents a concept that applies both the error function of the adaptive algorithms to estimate two-dimensional direction-of-arrival and the coordinate system of a moving microphone array. This method directly estimates the relative directions of the microphone array to the sound source directions by minimizing the relative differences of arrival time among the observed signals, not by estimating the time difference of arrival (TDOA) between two observed signals. This method compensates the time delay of the observed signals simultaneously, and it has a feature to ensure that the output signals are in phase. Simulation results support effectiveness of the method.

关键词： Microphones

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ON THE ESTIMATION OF THE COVARIANCE EIGENSPECTRUM OF array SAMPLE OBSERVATIONS

ON THE ESTIMATION OF THE COVARIANCE EIGENSPECTRUM OF ARRAY S...

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ieee sensor array and multichannel signal processing workshop

作者： Rubio, Francisco Mestre, Xavier CTTC Barcelona 08860 Spain

ISBN: (纸本)9781424422401

In this paper, we propose an estimator of the eigenspectrum of the array observation covariance matrix that builds upon the well-known power method and is consistent for an arbitrarily large array dimension. Traditional estimators based on the eigendecomposition of the sample covariance matrix are known to be consistent provided that the number of observations grow to infinity with respect to any other dimension in the signal model. On the contrary, in order to avoid the loss in the estimation accuracy associated with practical finite sample-size situations, a generalization of the conventional implementation is derived that proves to be a very good approximation for a sample-size and an array dimension that are comparatively large. The proposed solution is applied to the construction of a subspace-based extension of the Capon source power estimator. For our purposes, we resort to the theory of the spectral analysis of large dimensional random matrices, or random matrix theory. As it is shown via numerical simulations, the new estimator turns out to allow for a significantly improved estimation accuracy in practical finite sample-support scenarios.

关键词： Covariance matrix

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Direction Finding and array Calibration Based on Sparse Reconstruction in Partly Calibrated arrays

Direction Finding and Array Calibration Based on Sparse Reco...

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

作者： Steffens, Christian Parvazi, Pouyan Pesavento, Marius Tech Univ Darmstadt Commun Syst Grp Darmstadt Germany

ISBN: (纸本)9781479914814

A novel convex optimization problem formulation for source localization using partly calibrated arrays composed of subarrays with unknown displacements is introduced. The proposed formulation is based on sparse reconstruction using a mixed trace- and l(1)-norm minimization and exploits joint sparsity and special structure in the signal model. The new technique is applicable to subarrays of arbitrary topologies and allows the joint estimation of the directions of arrival (DoAs) and the array calibration. As shown by simulations, our new DoA estimation technique outperforms the state of the art method RARE, especially in low number of snapshot and low signal-to-noise ratio regime.

关键词： Partly Calibrated array Direction Finding Sparse Reconstruction Trace-Norm Minimization

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Augmented L-shaped Nested array Based on the Fourth-order Difference Co-array Concept 10

Augmented L-shaped Nested Array Based on the Fourth-order Di...

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10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Li, Xiangnan Ren, Shiwei Liu, Jianyan Wang, Weijiang Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China Sci & Technol Space Phys Lab Beijing 100076 Peoples R China

ISBN: (纸本)9781538647523

This paper presents a new two dimentional(2D) sparse array called the augmented L-shaped nested array based on the concept of fourth-order difference co-array. By properly choosing the relative positions of two L-shaped nested arrays, one could obtain a virtual planar array containing a large-scale hole-free uniform rectangular co-array. As a result, the degree of freedom could be greatly enhanced. Many theoretical properties are derived and simulations are included by considering the fourth-order cumulants of quasi-stationary signal to validate the superior performance of the proposed array in comparison with other 2D sparse arrays.

关键词： Two dimensional displays sensor arrays Covariance matrices array signal processing Planar arrays Conferences"

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Computationally Efficient Waveform Design in Spectrally Dense Environment 10

Computationally Efficient Waveform Design in Spectrally Dens...

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10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Yli-Niemi, Markus Vorobyov, Sergiy A. Aalto Univ Dept Signal Proc & Acoust POB 15400 FI-00076 Aalto Finland

ISBN: (纸本)9781538647523

The problem of unimodular radar waveform design with similarity constraint in spectrally dense environment is considered. The corresponding optimization problem is non-convex and additionally large-scale. Indeed, the waveform length can be of several thousands and the waveform has to be designed in every coherent processing interval. Since the problem is non-convex, the majorization-minimization (MaMi) method is used for addressing it, and since it is large-scale, the alternating direction method of multipliers (ADMM) is adopted. Thus, we develop a computationally efficient approach for solving the problem by using MaMi with proper design of majorization function together with alternating ADMM with newly proposed computationally efficient proximal projections. We evaluate the computational cost of the proposed algorithm and show its fast convergence unmatched by existing approaches in terms of simulations.

关键词： Radar signal processing algorithms Optimization array signal processing sensor arrays Conferences"

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An approach to adaptive beam-forming for wide-band systems using a subband decomposition

An approach to adaptive beam-forming for wide-band systems u...

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

作者： Raz, GM MIT Lincoln Lab Lexington MA 02420 USA

ISBN: (纸本)0780363396

The purpose of this work is to introduce two variations of an approach to adaptive beam-forming for wide-band sensor array systems using a subband decomposition. Subband decomposition facilitates a computational complexity efficient approach to the adaptive beam-forming problem. We derive optimal adaptive weights in the subband domain using two optimality criteria: (a) maximum SINE, and (b) mint mum MSE. It is shown that, unlike the narrow-band case where these criteria yield the same weights up to an overall multiplicative constant, here the two criteria result in different adaptive weights. Explicit conditions for this approach are given. Further, an approach for avoiding spatial mismtch errors is shown.

关键词： Adaptive arrays Computational complexity Covariance matrix Filter bank Gas insulated transmission lines Narrowband sensor arrays sensor systems signal to noise ratio Wideband

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