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检索条件"任意字段=2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016"

共 1002 条记录，以下是21-30 订阅

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Network Theory-Based Generic Model for Oversampled Receive Antenna arrays

Network Theory-Based Generic Model for Oversampled Receive A...

引用

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

作者： Abramovich, Yuri I. San Antonio, Geoffrey WR Syst Fairfax VA 22030 USA US Navy Res Lab Washington DC 20375 USA

In this paper we derive a generic signal processing model for oversampled linear antenna arrays based on network theory and Nyquist sampling theory. The theoretical model is verified with experimental data collected o... 详细信息

ISBN: (纸本)9781467310710

关键词： Over-the-horizon radar oversampled array HF

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A Variational Bayesian Approach to Direction Finding of Correlated Targets Using Coprime array 11

A Variational Bayesian Approach to Direction Finding of Corr...

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

作者： Yang, Jie Yang, Yixin Northwestern Polytech Univ Sch Marine Sci & Technol Xian 710072 Shaanxi Peoples R China

ISBN: (纸本)9781728119465

In this paper, we develop a sparsity-aware algorithm for direction-of-arrival (DOA) estimation of correlated targets in the context of coprime array processing. The idea is to iteratively interpolate the observed data to a virtual nonuniform linear array (NLA) in order to raise the degrees of freedom (DOF). We derive the estimation procedures using variational inference for fully Bayesian estimation, where the current parameter estimates are used to interpolate the observed data better and thus increase the likelihood of the next parameter estimates. The novelties of our method lies in its capacity of detecting more correlated sources than the number of physical sensors. Simulated data from coprime arrays are used to illustrate the superior performance of the proposed approach as compared with other state-of-the-art compressed sensing reconstruction algorithms.

关键词： Direction-of-arrival (DOA) estimation Coprime array Degrees of freedom (DOF) Variational inference

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DOA Estimation of Quasi-Stationary signals With a Nested array in Unknown Noise Field 10

DOA Estimation of Quasi-Stationary Signals With a Nested Arr...

引用

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

作者： Huang, Huiping Liao, Bin Shen, Qiuxiang Shenzhen Univ Coll Informat Engn Shenzhen 518060 Guangdong Peoples R China

ISBN: (纸本)9781538647523

The problem of direction-of-arrival (DOA) estimation of quasi-stationary signals using a nested array in unknown noise field is investigated and two methods based on differencing method and eigenspace are proposed in this paper. Through performing differencing between the virtual received data, the unknown noise component is directly removed from the data model. The resulting data model is then utilized to find out the DOAs of the signals based on the theory of subspace. Thanks to the configuration of the nested array, it can produce large degrees of freedom (DOF) in the virtual sensor array which provides the virtual received data. These increased DOF can contribute enhanced resolution in DOA estimation. Numerical simulations of DOA estimation exhibit the effectiveness and superiority of the proposed methods.

关键词： DOA estimation quasi-stationary signals nested array unknown noise field differencing method

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Joint DOD and DOA Estimation for bistatic MIMO Radar in the presence of Combined array Errors 10

Joint DOD and DOA Estimation for bistatic MIMO Radar in the ...

引用

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

作者： Wen, Fangqing Wu, Lei Cai, Changxin Huang, Dongmei Yangtze Univ Natl Demonstrat Ctr Expt Electrotech & Elect Educ Jingzhou 434023 Peoples R China Naval Command Coll Dept Training Management Nanjing 210016 Peoples R China

ISBN: (纸本)9781538647523

In this paper, we investigate into joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation for bistatic multiple-input multiple-output (MIMO) radar in the presence of gain-phase error and mutual coupling error. An auxiliary sensors-based framework is proposed, the matched array measurement of the MIMO radar is formulated as a parallel factor (PARAFAC) model, which links the problem of joint DOD and DOA estimation to PARAFAC decomposition. Thereafter, the DODs and DOAs are obtained via least square strategy. The proposed method is computationally more efficient than the existing reduced-MUSIC method. Besides, it can achieve closed-form solutions for DODs and DOAs, which are paired automatically. Numerical experiments demonstrate the effectiveness of our method.

关键词： multiple-input multiple-output radar direction estimation mutual coupling gain-phase error position error parallel factor analysis

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Direction of Arrival Estimation of Harmonic signal Using Single Moving sensor

Direction of Arrival Estimation of Harmonic Signal Using Sin...

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

作者： Hioka, Yusuke Kishida, Masako Univ Canterbury Dept Elect & Comp Engn Christchurch 8140 New Zealand

ISBN: (纸本)9781479914814

A signal processing algorithm for estimating the direction of arrival of a harmonic signal using only a single sensor is proposed. The method is based on the recently invented architecture called CAROUSEL, which makes use of the Doppler effect caused by observing signals using the sensor in a circular motion. The proposed method estimates the direction of arrival from the amount of phase shift of a harmonic component caused by the Doppler effect. Simulation using various harmonic signals including synthesised speech phonemes prove the proposed algorithm is able to accurately estimate the direction of arrival of the harmonic signals.

关键词： DOA estimation sensor array harmonics speech CAROUSEL

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LOCALIZATION OF DIFFRACTED SEISMIC NOISE SOURCES USING AN array OF SEISMIC sensorS

LOCALIZATION OF DIFFRACTED SEISMIC NOISE SOURCES USING AN AR...

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ieee sensor array and multichannel signal processing workshop

作者： Gulunay, Necati CGGVeritas R&D Cairo Egypt

Seismic receiver arrays that are used in modem 3D marine surveys can also be used as 2D sensor arrays in the localization of the diffracted noise sources and hence allow attenuation of such noise from the seismic reco... 详细信息

ISBN: (纸本)9781424422401

关键词： Seismology

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Deterministic Blind Identification in Antenna array processing

Deterministic Blind Identification in Antenna Array Processi...

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

作者： Sahnoun, Souleymen Comon, Pierre CNRS UMR5216 GIPSA Lab F-38402 St Martin Dheres France

ISBN: (纸本)9781479914814

The estimation of directions of arrival is formulated as the decomposition of a 3-way array into a sum of rank-one terms. However, a low-rank tensor approximation does not always exist. We propose an optimization technique based on differentiable angular constraints on the factors, ensuring the existence of the low-rank tensor decomposition. The efficiency of the proposed algorithm is demonstrated via numerical simulations, and compared to Cramer-Rao bounds.

关键词： array processing Antenna arrays decomposition Blind Tensor deterministic Differentiable

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Online Mutual Coupling Calibration Using a signal Source at Unknown Location 10

Online Mutual Coupling Calibration Using a Signal Source at ...

引用

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

作者： Wei, Tong Liao, Bin Huang, Huiping Quan, Zhi Shenzhen Univ Coll Informat Engn Shenzhen 518060 Guangdong Peoples R China

ISBN: (纸本)9781538647523

The effect of mutual coupling among the antenna elements will degrade the performance of array signal processing methods, and hence, mutual coupling calibration has attracted many research interests. However, existing approaches to deal with this problem either require the angular information of the calibration source(s) or require computationally expensive procedures to determine the mutual coupling coefficients. To this end, we propose an efficient method to calibrate the mutual coupling with a single source at unknown location. In particular, by exploiting the fact that mutual coupling is inversely related to their separation and is negligible when they are separated by a few wavelengths and the mutual coupling matrix (MCM) of uniform linear array (ULA) can be approximated as a banded symmetric matrix, it is shown that both the signal direction-of-arrival (DOA) and mutual coupling coefficients can be estimated in closed-form without any spectral grid search. Simulation results indicate that the proposed methods is able to provide promising performance compared with existing approaches.

关键词： Mutual coupling Calibration array signal processing Direction-of-arrival estimation Antenna arrays signal to noise ratio sensor arrays"

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A Method to Suppress the Main-beam Deceptive Jamming in FDA-MIMO Radar with Random Polyphase Codes 10

A Method to Suppress the Main-beam Deceptive Jamming in FDA-...

引用

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

作者： Lan, Lan Liao, Guisheng Xu, Jingwei Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China

ISBN: (纸本)9781538647523

The main-beam deceptive jamming reduces the estimation precision and tracking accuracy of the target, which brings huge resources consume and severe challenges along with threats. Besides, it is impossible to obtain perfectly orthogonal waveforms for all Doppler and delay pairs in the multiple-input and multiple-output (MIMO) radar. In this paper, based on the frequency diverse array (FDA)-MIMO radar with random polyphase codes, we have addressed the problem of the main-beam range deceptive jamming suppression with two steps. Firstly, the true and false targets are distinguished in the joint transmit-receive spatial frequency domain according to the time delay difference in the false target generation. Subsequently, due to the range mismatch, the main-beam deceptive jamming can be suppressed through a range-angle adaptive matched filter. Simulation results are provided to demonstrate the effectiveness of the proposed approach.

关键词： Main-beam deceptive jamming orthogonal waveforms frequency diverse array radar joint range-receive spatial frequency domain range-angle adaptive matched filter

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HIGH-RESOLUTION TARGET SENSING USING MULTI-FREQUENCY SPARSE array 11

HIGH-RESOLUTION TARGET SENSING USING MULTI-FREQUENCY SPARSE ...

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

作者： Ahmed, Ammar Silage, Dennis Zhang, Yimin D. Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA

ISBN: (纸本)9781728119465

In this paper, we discuss high-resolution target sensing through the exploitation of multi-frequency sparse array processing. By using simple design examples of a three-element sensor array coupled with the sensing signals consisting of three well-designed frequencies, we provide insights to achieve a high number of consecutive lags, unique lags, and array aperture. Such multi-frequency sensor arrays with reduced number of sensors can be attractive in many applications to achieve effective sensing with a low cost.

关键词： Sparse array multi-frequency sensing group sparsity DOA estimation

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