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Signal Positioning of Lightning Detection and Warning System Combining direction of arrival Algorithm and Capon Algorithm

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PROCESSES 2025年第2期13卷 398-398页

作者： Han, Yiming He, Bin Shu, Hongchun Kunming Univ Sci & Technol Sch Elect Power Engn Kunming 650032 Peoples R China

Aiming at the poor warning effect and slightly low precision of signal positioning in the traditional lightning detection and warning system, the research utilizes the artificial intelligence approach to signal positioning in the lightning detection and warning system for performance improvement. The study first digitized the lightning signal using the arrival direction algorithm and then used the Capon algorithm based on the digitized processing to reduce the interference and improve the accuracy of lightning positioning. The results indicated that the root mean square error value and positioning angle error of lightning warning signal positioning data processing by hybrid algorithm were 6.72% and 5.93%, respectively. Meanwhile, the percentage of detection efficiency and real time was 96.36% and 95.16%, respectively, and the anti-interference ability was 94.02%. Moreover, the average value of time-consuming lightning warning positioning and the positioning error were 2.39 s and 2.69%, respectively. Moreover, the performance of all the comparison indexes was better than that of the comparison methods. This indicates that the method not only improves the precision of lightning signal positioning but also enhances the stability and real-time performance of the system. It has significant application potential in the field of lightning detection and warning and can effectively improve the precision and timeliness of lightning warning.

关键词： direction of arrival algorithms capon beamforming algorithm lightning detection early warning systems signal positioning

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Performance Study of direction of arrival (DOA) Estimation algorithms for Linear Array Antenna

Performance Study of Direction of Arrival (DOA) Estimation A...

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International Conference on Signal Processing Systems (ICSPS 2009)

作者： Islam, Md. Rafiqul Adam, Ibrahim A. H. Int Islamic Univ Malaysia Dept Elect & Comp Engn Kuala Lumpur 50728 Malaysia

ISBN: (纸本)9780769536545

This paper presents the performance analysis of five direction of arrival estimation algorithms namely Bartlett, Minimum Variance Distortionless Response (MVDR), Linear Prediction and MUSIC DOA Estimates. We present the description, comparison and the performance and resolution analyses of these algorithms. Sensitivity to various perturbations and the effect of parameters related to the design of the sensor array itself such as the number of array elements and their spacing are also investigated. The analysis is based on linear array antenna and the calculation of the pseudospectra function of the estimation algorithms. Matlab is used for simulating the algorithms.

关键词： direction of arrival algorithms linear array antenna pseudospectra solutions

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A direction-Of-arrival approach for the subsurface localization of a dielectric object

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JOURNAL OF APPLIED GEOPHYSICS 2012年 85卷 68-79页

作者： Meschino, Simone Pajewski, Lara Schettini, Giuseppe Roma Tre Univ Dept Appl Elect I-00146 Rome Italy

In this paper, a technique based on Sub-Array Processing and direction of arrival estimation is applied, for the localization of buried cavities and dielectric cylinders. The same approach has been previously employed for the sensing of perfectly-conducting objects, with good results. Here, several scenarios are examined, assuming different permittivity values for both the scatterer and hosting medium. The position and size of the cylinder are also varied. Results for air cavity detection are particularly interesting. The proposed procedure can be useful for near-surface probing applications. (C) 2012 Elsevier B.V. All rights reserved.

关键词： Electromagnetic detection Buried objects Inverse scattering direction of arrival algorithms Sub-Array Processing Ground Penetrating Radar

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Improved Resolution Estimate for the Two-Dimensional Super-Resolution and a New Algorithm for direction of arrival Estimation with Uniform Rectangular Array

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FOUNDATIONS OF COMPUTATIONAL MATHEMATICS 2024年第5期24卷 1517-1566页

作者： Liu, Ping Ammari, Habib Swiss Fed Inst Technol Dept Math Ramistr 101 CH-8092 Zurich Switzerland

In this paper, we develop a new technique to obtain improved estimates for the computational resolution limits in two-dimensional super-resolution problems and present a new idea for developing two-dimensional super-resolution algorithms. To be more specific, our main contributions are fourfold: (1) Our work improves the resolution estimates for number detection and location recovery in two-dimensional super-resolution problems;(2) As a consequence, we derive a stability result for a sparsity-promoting algorithm in two-dimensional super-resolution problems [or direction of arrival Problems (DOA)]. The stability result exhibits the optimal performance of sparsity promoting in solving such problems;(3) Inspired by the new techniques, we propose a new coordinate-combination-based model order detection algorithm for two-dimensional DOA estimation and theoretically demonstrate its optimal performance, and (4) we also propose a new coordinate-combination-based MUSIC algorithm for super-resolving sources in two-dimensional DOA estimation. It has excellent performance and enjoys some advantages compared to the conventional DOA algorithms.

关键词： Two-dimensional super-resolution direction of arrival algorithms Resolution estimates Stability results Sparsity-promoting algorithm Model order detection MUSIC algorithm

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SPOT-GPR Analysis of Ground Penetrating Radar Signals Recorded over the Gneiss 14/20 Region of the IFSTTAR Geophysical Test Site: Preliminary Results 23

SPOT-GPR Analysis of Ground Penetrating Radar Signals Record...

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27th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

作者： Pajewski, Lara Meschino, Simone Sapienza Univ Dept Informat Engn Elect & Telecommun Rome Italy Airbus Def & Space GmbH Microwave Engn & Technol Team Friedrichshafen Germany

ISBN: (纸本)9789532900880

SPOT-GPR stands for "Sub-array Processing Open Tool for GPR applications" and is a MATLAB-based software that can semi-automatically find and localize ('spot') targets in ground-penetrating radar (GPR) data. It implements a sub-array processing method, which combines smart-antenna and radar algorithms. In this paper, SPOT-GPR is used to analyse real GPR signals taken from the Open Database of Radargrams of COST Action TU1208. The considered data were recorded over the gneiss 14/20 region of a geophysical test site in Nantes, France, by using a pulsed radar system equipped with 900-MHz ground-coupled antennas. The acquisition line ran over nine steel and PVC pipes hidden in the gravel;the pipes were placed in different positions by the sloping side of the test site, mutually close enough to be strongly interfering. In previous studies, SPOT-GPR had been already tested on synthetic and real data;however, the data analysed in this paper were recorded over a more complex scenario than the previously-considered ones. The preliminary results presented herein show that SPOT-GPR is capable of detecting seven out of the nine targets buried in the test site, and their positions are estimated with variable accuracy. Since all radargrams included in TU1208 database are available for the scientific community, this case study has the added value to enable a comparison of the method implemented in SPOT-GPR with different detection algorithms that will be possibly tested on the same data by other authors in the future.

关键词： Ground penetrating radar sub-array processing direction of arrival algorithms target detection and localization

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