This paper investigates the problem of localizing multiple far-field and near-field narrowband sources impinging on a symmetric uniformlinear (ULA) array, and a new rank reduction (RARE) based localization method is ...
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ISBN:
(纸本)9781538665282
This paper investigates the problem of localizing multiple far-field and near-field narrowband sources impinging on a symmetric uniformlinear (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.
Accurate estimation of array's phase center is of great importance in navigation, tracking and other aircraft and aerospace systems. In this paper first the effect of reference point on the phase pattern of a unif...
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ISBN:
(纸本)9783038353140
Accurate estimation of array's phase center is of great importance in navigation, tracking and other aircraft and aerospace systems. In this paper first the effect of reference point on the phase pattern of a uniform linear array is studied and the phase center of the array is estimated. Then the effect of beamsteering on the location of phase center in phased arrays is theoretically analyzed, finally numerical simulations are carried out and the results are in good agreement with the theoretical analysis.
This paper reports an over-the-air measurement of a uniformlinear antenna array for the radio frequency of 28 GHz and discusses the achieved accuracy of beamforming. Two conventional phased array calibration methods,...
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ISBN:
(纸本)9791188428090
This paper reports an over-the-air measurement of a uniformlinear 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.
This paper reports an over-the-air measurement of a uniformlinear antenna array for the radio frequency of 28 GHz and discusses the achieved accuracy of beamforming. Two conventional phased array calibration methods,...
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ISBN:
(纸本)9791188428069
This paper reports an over-the-air measurement of a uniformlinear 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.
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 sing...
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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 lineararray 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.
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...
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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.
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 indepen...
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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.
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 o...
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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.
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 ...
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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.
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-re...
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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.
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