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20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Zuo, Weiliang Xin, Jingmin Li, Jie Zheng, Nanning Sano, Akira Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China Xi An Jiao Tong Univ Natl Engn Lab Visual Informat Proc & Applicat Xian 710049 Peoples R China Keio Univ Dept Syst Design Engn Yokohama Kanagawa 2238522 Japan

ISBN: (纸本)9781538665282

This paper investigates the problem of localizing multiple far-field and near-field narrowband sources impinging on a symmetric uniform linear (ULA) array, and a new rank reduction (RARE) based localization method is proposed by using the second-order statistics of the array data, where the "saturation behavior" encountered in most of localization methods is overcome by a non-iterative procedure. Firstly, the direction-of-arrivals (DOAs) of all incident sources are estimated by using a RARE estimator. Then the ranges estimation and sources classification are achieved through a subspace-based estimator formed from the array correlation matrix. Thirdly, a DOA selection scheme is presented for multiple far-field sources. Finally, the effectiveness of the proposed method are substantiated through numerical examples, and the simulation results demonstrate that the proposed method has remarkable performance for both far-field and near-field sources.

关键词： Source localization direction-of-arrival far-field near-field uniform linear array

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Research on uniform linear array output signal and beamforming

Research on uniform linear array output signal and beamformi...

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10th IEEE International Conference on Signal Processing, Communications and Computing (IEEE ICSPCC)

作者： Shan, Wenjiao Wang, Jing KaiJia, Xiang Wang, Jingli Guan, Jing Yunnan Univ Sch Informat Sci & Engn Kunming Yunnan Peoples R China Kunming Shipborne Equipment Res & Test Ctr Kunming Yunnan Peoples R China

ISBN: (纸本)9781728172019

Aiming at the problems of low scanning efficiency and difficult real-time imaging of TKIS-I color helmet mechanical scanning single-beam sonar developed in the laboratory at present, research on high-frequency high-resolution multi-beam imaging sonar is proposed. Multi-beam imaging sonar can be pre-formed into multiple beams using electronic scanning technology, which can simultaneously scan and image a large range, greatly improves the scanning efficiency of sonar. This paper will proceed from the two aspects of the output signal of the transducer array and the principle of beamforming to study some characteristics of the uniform linear array multi-beam sonar, and make a theoretical research basis for the development of high-frequency high-resolution multi-beam imaging sonar.

关键词： uniform linear array Signal Set Simulation Beamforming

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A Digital Modulation Recognition Method Based on uniform linear array 3

A Digital Modulation Recognition Method Based on Uniform Lin...

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3rd IEEE International Conference on Information Communication and Signal Processing (ICICSP)

作者： Yang Yangqiang Wu Dong Yang Lifen Natl Univ Def Technol Coll Informat & Commun Wuhan Peoples R China

ISBN: (数字)9781728188232

ISBN: (纸本)9781728188232

Classical digital modulation recognition methods will suffer from performance deterioration when SNR decreases, a method based on uniform linear array (ULA) was proposed to solve above problem in this paper. The SNR of received signal will be increased by spatial filtering using ULA, and then the performance of modulation recognition at low SNR will be improved. The proposed modulation recognition method employes ULA as signal receiver, uses high-order cumulants as classification features, and finally Back-propagation Neural Network (BPNN) is used for digital modulation classification. Simulation results showed that the proposed method can recognize typical digital modulations including 2ASK, 4ASK, 4FSK and 4PSK efficiently with satisfactory recognition rate at low SNR. And meanwhile influence factors including number of array elements, structure of neural network and data scale of training and testing were studied and discussed.

关键词： uniform linear array digital modulation recognition high-order cumulant neural network

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An Experimental Study of 28 GHz Analog Beamforming with a uniform linear array 24

An Experimental Study of 28 GHz Analog Beamforming with a Un...

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24th International Conference on Advanced Communication Technology (ICACT) - Artificial Intelligence Technologies toward Cybersecurity

作者： Iye, Tetsuya Tsuda, Kensuke Fujii, Yoshimi Kozo Keikaku Engn Inc Commun Engn Dept Tokyo Japan

ISBN: (纸本)9791188428090

This paper reports an over-the-air measurement of a uniform linear antenna array for the radio frequency of 28 GHz and discusses the achieved accuracy of beamforming. Two conventional phased array calibration methods, i.e., rotating element electric field vector method and multi-element phase-toggle method, are performed and compared to confirm calibration validity. Both methods realize fine beam steering accuracy of delta theta(RMS) = 0.23 degrees around the boresight direction. In addition, we confirmed the robustness of the calibration values against frequencies within 200 MHz wide around 28 GHz.

关键词： 5G NR OTA measurement analog beamforming uniform linear array calibration

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Two-dimensional DOA estimation based on a single uniform linear array 25

Two-dimensional DOA estimation based on a single Uniform lin...

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25th Telecommunication Forum (TELFOR)

作者： Faye, A. Ndaw, J. D. Maiga, A. S. Univ Gaston Berger IPSL St Louis Senegal Univ Gaston Berger Dept Phys UFR SAT St Louis Senegal

ISBN: (纸本)9781538630730

Conventional DOA estimation techniques use planar arrays to determine both azimuth and elevation angles due to angle ambiguity resulting in ULA radiation pattern symmetry. This paper demonstrates the ability of a single uniform linear array (ULA) of isotropic elements along with an Artificial Neural Networks (ANN) approach to achieve two-dimensional direction of arrival (2D-DOA) estimation. A single linear array combined with appropriately trained linear Vector Quantization (LVQ) Artificial Neural Networks is used to achieve two-dimensional direction of arrival (2D-DOA) estimation with elevation and azimuth angles estimations. linear Vector Quantization (LVQ) neural networks are sequentially trained on elevation and azimuth dependent datasets build from received signal in predefined spatial sectors chosen in accordance with pattern symmetry and radiation intensity. A multilevel process is applied to further reduce the training sets sizes and computation time. System performances are in good agreement with subspace based techniques.

关键词： DOA neural networks LVQ uniform linear array

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A NEW FILTER DESIGN FOR uniform linear array

A NEW FILTER DESIGN FOR UNIFORM LINEAR ARRAY

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5th International Multi-Conference on Systems, Signals and Devices

作者： Gudino, Lucy J. Jagadeesha, S. N. Rodrigues, Joseph X. BITS Pilani Goa Campus Comp Sc & Info Syst Grp Zuarinagar Goa India JNN Coll Engn Shimoga Dept Informat Sci & Engn Shimoga Karnataka India Agnel Tech Educ Dept Elect & Comm Verna Goa India

ISBN: (纸本)9781424422050

In this paper, a new design of spatial filter for uniform linear array is presented. The array factor is expressed in terms of cosine, sine and linear functions of frequency which serves as an alternative to Chebyshev polynomials. The simple filter design has good stopband attenuation with the use of trigonometric functions with less filter complexity. Novel slope equalization technique of the filter design reduces ripples at the transition edges hence further improves its stopband attenuation. Proposed filter replaces Dolph-Chebyshev window in the design of a uniform linear array beamformer.

关键词： uniform linear array FIR filter chebyshev array array factor

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An Experimental Study of 28 GHz Analog Beamforming with a uniform linear array 23

An Experimental Study of 28 GHz Analog Beamforming with a Un...

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23rd International Conference on Advanced Communications Technology (ICACT) - On-Line security in Pandemic Era

作者： Iye, Tetsuya Tsuda, Kensuke Fujii, Yoshimi Kozo Keikaku Engn Inc Commun Engn Dept Tokyo Japan

ISBN: (纸本)9791188428069

关键词： 5G NR OTA measurement analog beamforming uniform linear array calibration

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A structure-based subspace fitting approach for interference rejection in moving uniform linear array 2

A structure-based subspace fitting approach for interference...

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2nd IEEE China Summit / International Conference on Signal and Information Processing (IEEE ChinaSIP)

作者： He, Shun Li, Guoming Xian Univ Sci & Technol Commun & Informat Engn Collage Xian 710054 Peoples R China

ISBN: (纸本)9781479954032

Space-time adaptive processing (STAP) is a well-suited methodology to eliminate strong interference in moving-platform sensor arrays. A fundamental issue in STAP is to determine the optimal weight vector. This can be obtained either by sample matrix inverse (SMI) or by subspace projection. We perform a structure-based two-stage signal subspace reconstruction to obtain an accurate estimate of the interference subspace with small training-data support. The performance of the proposed approach is evaluated based on numerically simulation.

关键词： interference rejection subspace projection uniform linear array space-time adaptive processing

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Direction of Arrival Estimation with uniform linear array based on Recurrent Neural Network 5

Direction of Arrival Estimation with Uniform Linear Array ba...

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5th IEEE International Conference on Signal Processing, Computing and Control (ISPCC)

作者： Wajid, Mohammad Kumar, Bipin Goel, Arun Kumar, Arun Bahl, Rajendar Aligarh Muslim Univ Dept Elect Engn ZHCET Aligrah 202002 India Indian Inst Technol Delhi Ctr Appl Res Elect New Delhi 110016 India

ISBN: (纸本)9781728139883

This paper proposes the direction of arrival (DOA) estimation of an acoustic source based on a recurrent neural network (RNN) with a uniform linear array (ULA). The RNN has been trained using a large number of independent realizations of microphones signal of the ULA. The authors have compared the DOA estimation accuracy of RNN model against the standard algorithm i.e. delay and sum (DAS) beamformer and it has been observed that RNN based DOA estimation outperforms the DAS beamformer.

关键词： Direction of Arrival Recurrent Neural Network uniform linear array

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A Frequency-Azimuth Spectrum Estimation Method for uniform linear array Based on Deconvolution

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REMOTE SENSING 2024年第3期16卷 518-518页

作者： Lu, Daiqiang Cai, Zhiming Guo, Wei Yao, Zhixiang Cao, Huanzhi Naval Univ Engn Coll Elect Engn Wuhan 430033 Peoples R China Natl Univ Def Technol Coll Meteorol & Oceanog Changsha 410000 Peoples R China

The frequency-azimuth (FRAZ) spectrum is a critical characteristic in passive target detection and tracking, as it encapsulates information regarding the signal's frequency and azimuth. However, due to the inherent limitations in the sonar array's physical aperture and the analysis time of the system, the signal often suffers from undersampling in both spatial and temporal dimensions. This undersampling leads to energy leakage across the azimuth and frequency domains, adversely affecting the resolution of the FRAZ spectrum. Such a reduction in resolution hampers multitarget resolution and feature extraction. To address these challenges, this study introduces a deconvolution-based FRAZ spectrum estimation method tailored for uniform linear arrays. The proposed method initiates by decoupling the azimuth and frequency in the FRAZ spectrum, forming a two-dimensional point scattering function that possesses shift-invariance. Subsequent to this, the power spectrum and the two-dimensional point scattering function undergo deconvolution using the Richardson-Lucy (R-L) iterative algorithm. The final stage involves calculating the signal azimuths and frequencies based on the deconvolution results from the preceding step. Comparative analyses involving simulations and sea test results reveal that the proposed method achieves a narrower main lobe width and diminished background noise in contrast to traditional FRAZ spectrum estimation techniques. This improvement is instrumental in minimizing the target's energy leakage in both the azimuth and frequency domains.

关键词： deconvolution FRAZ spectrum line spectrum estimation array signal processing uniform linear array Richardson-Lucy algorithm

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