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array signal processing

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IEEE Transactions on Acoustics, Speech, and signal processing 1985年第5期33卷 1346-1346页

作者： Justice, J.H. Owsley, N.L. Yen, J.L. Kak, A.C. Long, David G. Englewood Cliffs NJ United States

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array signal processing for Advanced Surveillance: An Experiment with a 12-Element Linear array and SDR

Array Signal Processing for Advanced Surveillance: An Experi...

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Integrated Communications, Navigation and Surveillance Conference, ICNS

作者： Junichi Naganawa Jun Kitaori Hirohisa Tajima Tadashi Koga Port and Aviation Technology (MPAT) Electronic Navigation Research Institute (ENRI) National Institute of Maritime Tokyo Japan

ISBN: (数字)9798331534738

ISBN: (纸本)9798331534745

Aeronautical surveillance systems for air traffic control use Mode S signals. Precise estimation of the Angle of Arrival (AOA) of a Mode S signal by array signal processing can enable various applications. For example, AOA can be used to verify ADS-B positions. For Wide Area Multilateration (WAM), performance enhancement or reduction of the number of ground stations may be achieved by combining AOA with Time Difference of Arrival (TDOA). Ultimately, secondary surveillance radar (SSR) may employ electronic scanning. Therefore, the authors have been conducting an experimental study on AOA measurement for Mode S signals. In this paper, an experiment with 12 -element linear array and software-defined-radio (SDR) is presented. ADS-B signals were recorded during the experiment, and then array calibration using ADS-B signals and AOA estimation using beamformer, Capon, and MUSIC methods were applied.

关键词： Accuracy array signal processing Time difference of arrival Surveillance Estimation Parallel processing Traffic control Aircraft navigation Multiple signal classification Wide area measurements

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array signal processing for local arterial pulse wave velocity measurement using ultrasound

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IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL 2007年第5期54卷 1018-1027页

作者： Hoctor, Ralph T. Dentinger, Aaron M. Thomenius, Kai E. Gen Elect Global Res Ctr Imaging Technol Org Niskayuna NY 12309 USA

A new signal processing approach to estimation of local arterial pulse wave velocity (PWV) in superficial arterial segments using long-axis ultrasound measurements is proposed. The method is designed to be resistant to estimation bias due to pulse wave reflections. It is evaluated using a laboratory test tank, and it appears to estimate local PWV with less bias than previously accepted methods, and with similar estimation variance to those methods.

关键词： biomedical ultrasonics blood vessels medical signal processing array signal processing local arterial pulse wave velocity measurement long-axis ultrasound measurements pulse wave reflections superficial arterial segments Arterial Pulse array signal processing Ultrasonic Waves acoustic wave velocity measurement Blood Vessels Wave velocity biomedical ultrasonics medical signal processing wave reflection

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array signal processing via Sparsity-Inducing Representation of the array Covariance Matrix

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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 2013年第3期49卷 1710-1724页

作者： Liu, Zhang-Meng Huang, Zhi-Tao Zhou, Yi-Yu Natl Univ Def Technol China Sch Elect Sci & Engn Changsha 410073 Hunan Peoples R China

A method named covariance matrix sparse representation CMSR) is developed to detect the number and estimate the directions of multiple, simultaneous sources by decomposing the array output covariance matrix under sparsity constraint. In CMSR the covariance matrix elements are aligned to form a new vector, which is then represented on an overcomplete spatial dictionary, and the signal number and directions are finally derived from the representation result. A hard threshold, which is selected according to the perturbation of the covariance elements, is used to tolerate the fitting error between the actual and assumed models. A computation simplification technique is also presented for CMSR in special array geometries when more than one pair of sensors has equal distances, such as the uniform linear array (ULA). Moreover, CMSR is modified with a blind-calibration process under imperfect array calibration to enhance its adaptation to practical applications. Simulation results demonstrate the performance of CMSR.

关键词： variance covariance matrix array signal processing perturbation Covariance matrix arrays Matrix Element

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array signal processing for radio astronomy

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EXPERIMENTAL ASTRONOMY 2004年第1-3期17卷 231-249页

作者： Veen, A Leshem, A Boonstra, A ASTRON R&D Dept NL-7990 AA Dwingeloo Netherlands Delft Univ Technol Dept Elect Engn DIMES NL-2628 CD Delft Netherlands Bar Ilan Univ Dept Elect Engn Tel Aviv Israel

Radio astronomy forms an interesting application area for array signal processing techniques. Current synthesis imaging telescopes consist of a small number of identical dishes, which track a fixed patch in the sky and produce estimates of the time-varying spatial covariance matrix. The observations sometimes are distorted by interference, e.g., from radio, TV, radar or satellite transmissions. We describe some of the tools that array signal processing offers to filter out the interference, based on eigenvalue decompositions and factor analysis, which is a more general technique applicable to partially calibrated arrays. We consider detection of interference, spatial filtering techniques using projections, and discuss how a reference antenna pointed at the interferer can improve the performance. We also consider image formation and its relation to beamforming.

关键词： array signal processing interference mitigation radio astronomy

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In Situ Measurement of Radiated Emissions Based on array signal processing and Adaptive Noise Cancellation

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IEICE TRANSACTIONS ON ELECTRONICS 2019年第4期E102C卷 371-379页

作者： Li, Peng Zhou, Zhongyuan Sheng, Mingjie Zhou, Qi Hu, Peng Southeast Univ Sch Mech Engn Electromagnet Compatibil Lab Nanjing 211189 Jiangsu Peoples R China

This paper presents a method combining array signal processing and adaptive noise cancellation to suppress unwanted ambient interferences in in situ measurement of radiated emissions of equipment. First, the signals received by the antenna array are processed to form a main data channel and an auxiliary data channel. The main channel contains the radiated emissions of the equipment under test and the attenuated ambient interferences. The auxiliary channel only contains the attenuated ambient interferences. Then, the adaptive noise cancellation technique is used to suppress the ambient interferences based on the correlation of the interferences in the main and auxiliary channels. The proposed method overcomes the problem that the ambient interferences in the two channels of the virtual chamber method are not correlated, and realizes the suppression of multi-source ambient noises in the use of fewer array elements. The results of simulation and experiment show that the proposed method can effectively extract radiated emissions of the equipment under test in complex electromagnetic environment. Finally, discussions on the effect of the beam width of the main channel and the generalization of the proposed method to three dimensionally distributed signals are addressed.

关键词： electromagnetic compatibility in situ measurement array signal processing radiated emission adaptive noise cancellation

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White noise reduction for wideband linear array signal processing

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IET signal processing 2018年第3期12卷 335-345页

作者： Anbiyaei, Mohammad Reza Liu, Wei McLernon, Des C. Univ Sheffield Dept Elect & Elect Engn Commun Res Grp Sheffield S1 3JD S Yorkshire England Univ Leeds Sch Elect & Elect Engn Signal Proc Commun Grp Leeds LS2 9JT W Yorkshire England

The performance of wideband array signal processing algorithms is dependent on the noise level in the system. A method is proposed for reducing the level of white noise in wideband linear arrays via a judiciously designed spatial transformation followed by a bank of highpass filters. A detailed analysis of the method and its effect on the spectrum of the signal and noise are presented. The reduced noise level leads to a higher signal-to-noise ratio for the system, which can have a significant beneficial effect on the performance of various beamforming methods and other array signal processing applications such as direction of arrival estimation. Here the authors focus on the beamforming problem and study the improved performance of two well-known beamformers, namely the reference signal based and the linearly constrained minimum variance beamformers. Both theoretical analysis and simulation results are provided.

关键词： array signal processing white noise high-pass filters white noise reduction wideband linear array signal processing algorithm spatial transformation high pass filter signal-to-noise ratio beamforming method direction of arrival estimation linearly constrained minimum variance beamformer

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Efficient computation of the eigensubspace for array signal processing

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IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION 1999年第5期146卷 235-242页

作者： Lee, CC Lee, JH Natl Taiwan Univ Dept Elect Engn Taipei 106 Taiwan

The authors present an efficient technique for computing the eigensubspace spanned by a received array data vector. First, the sensor array is partitioned into several subarrays without overlapped sensors. The basis matrix for the signal subspace of each subarray is computed. Using these basis matrices, an additional subarray is constructed and the basis matrix for the corresponding signal subspace is also computed. By using these subarray basis matrices, the basis matrix for the signal subspace of the original sensor array can be computed with reduced computing cost. The statistical performance and computational complexity for adaptive beam-forming and for bearing estimation using the proposed technique are evaluated. The theoretical results are confirmed and illustrated by simulation results.

关键词： statistical performance direction-of-arrival estimation array signal processing adaptive signal processing computational complexity bearing estimation received array data vector Linear algebra (numerical analysis) basis matrix signal subspace signal processing and detection eigenvalues and eigenfunctions adaptive beamforming subarrays efficient technique matrix algebra sensor array eigensubspace computation

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Robust GNSS Receivers by array signal processing: Theory and Implementation

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PROCEEDINGS OF THE IEEE 2016年第6期104卷 1207-1220页

作者： Fernandez-Prades, Carles Arribas, Javier Closas, Pau CTTC Stat Inference Commun & Positioning Dept Commun Syst Div Barcelona 08860 Spain

One of the main vulnerabilities of GNSS receivers is their exposure to intentional or unintentional jamming signals, which could even cause service unavailability. Several alternatives to counteract these effects were proposed in the literature, being the most promising those based on multiple antenna architectures. This is specially the case for high-grade receivers used in applications requiring reliability and robustness. This article provides an overview of the possible receiver architectures encompassing antenna arrays and the associated signal processing techniques. Emphasis is also put on the most typical implementation issues found when dealing with such technology. A thorough survey is complemented with a set of experiments, including real data processing by a working prototype, which exemplifies the above ideas.

关键词： Adaptive arrays array signal processing availability electromagnetic interference global positioning system radio navigation receiving antennas robustness satellite navigation systems

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MAXIMUM-LIKELIHOOD BASED SENSOR array signal-processing IN THE BEAMSPACE DOMAIN FOR LOW-ANGLE RADAR TRACKING

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IEEE TRANSACTIONS ON signal processing 1991年第3期39卷 656-671页

作者： ZOLTOWSKI, MD LEE, TS School of Electrical Engineering Purdue University West Lafayette IN USA

A 3-D beamspace domain, maximum likelihood (3-D BDML) bearing estimation scheme for low angle radar tracking is developed. The novelty of 3-D BDML is its judicious exploitation of the fact that the respective beams associated with any three classical beam-forming vectors which are mutually orthogonal have M - 3 nulls in common, where M is the number of elements comprising a uniformly spaced, linear array. Exploitation of this property yields an estimation scheme that is nearly as computationally simple as the 2-D beamspace bearing estimation technique based on sum and difference beams employed in conventional monopulse radar. To provide robustness to the severe signal cancellation occurring across the array when the direct and specular path signals arrive 180-degrees out of phase at the aperture center with roughly equal amplitude, frequency diversity is incorporated into 3-D BDML. The coherent signal subspace concept of Wang and Kaveh is invoked as a means of retaining the computational simplicity of single frequency 3-D BDML. It is shown that if the auxiliary frequencies are chosen from a restricted set of "special" values, the 3 x 3 beamspace domain based focusing matrices necessary for coherently combining the target energy at each transmission frequency do not depend on the bearings of the direct and specular signals and are known a priori. Under these conditions, perfect "focusing" may be achieved at the outset, i.e., without iterating, such that the computational complexity is essentially that associated with single frequency operation.

关键词： Sensor arrays array signal processing Maximum likelihood estimation Direction of arrival estimation Phased arrays Vectors Yield estimation Radar Robustness Apertures

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