Dual-station direction finding location based on disturbance detection
The application of direction finding location technology in electronic warfare is becoming more and more extensive. Aiming at the problem that the traditional location method will greatly affect the location accuracy when the measurement information of each observation station is disturbed, a dual-s...
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Format: | Article |
Language: | English |
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EDP Sciences
2022-01-01
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Series: | ITM Web of Conferences |
Subjects: | |
Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_02025.pdf |
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author | He Wentao Chen Xin Xing Shunxiang Cai Tianxing |
author_facet | He Wentao Chen Xin Xing Shunxiang Cai Tianxing |
author_sort | He Wentao |
collection | DOAJ |
description | The application of direction finding location technology in electronic warfare is becoming more and more extensive. Aiming at the problem that the traditional location method will greatly affect the location accuracy when the measurement information of each observation station is disturbed, a dual-station direction finding location algorithm based on disturbance detection is proposed. The algorithm uses the least squares method to obtain the target’s position information at each moment, then designs an improved Kalman filter algorithm with disturbance detection to improve the location accuracy. The simulation results show that the algorithm can still accurately track the target when the measurement information is disturbed, which has practical application value. |
first_indexed | 2024-12-12T06:30:01Z |
format | Article |
id | doaj.art-89fabe494a6e4288b7147cd9c27c6a39 |
institution | Directory Open Access Journal |
issn | 2271-2097 |
language | English |
last_indexed | 2024-12-12T06:30:01Z |
publishDate | 2022-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | ITM Web of Conferences |
spelling | doaj.art-89fabe494a6e4288b7147cd9c27c6a392022-12-22T00:34:37ZengEDP SciencesITM Web of Conferences2271-20972022-01-01470202510.1051/itmconf/20224702025itmconf_cccar2022_02025Dual-station direction finding location based on disturbance detectionHe Wentao0Chen Xin1Xing Shunxiang2Cai Tianxing3Institude of Automation, Nanjing University of Aeronautics and AstronauticsInstitude of Automation, Nanjing University of Aeronautics and AstronauticsInstitude of Automation, Nanjing University of Aeronautics and AstronauticsShanghai Institute of Mechanical and Electrical EngineeringThe application of direction finding location technology in electronic warfare is becoming more and more extensive. Aiming at the problem that the traditional location method will greatly affect the location accuracy when the measurement information of each observation station is disturbed, a dual-station direction finding location algorithm based on disturbance detection is proposed. The algorithm uses the least squares method to obtain the target’s position information at each moment, then designs an improved Kalman filter algorithm with disturbance detection to improve the location accuracy. The simulation results show that the algorithm can still accurately track the target when the measurement information is disturbed, which has practical application value.https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_02025.pdfdirection finding locationthe least squares methodkalman filterdisturbance detection |
spellingShingle | He Wentao Chen Xin Xing Shunxiang Cai Tianxing Dual-station direction finding location based on disturbance detection ITM Web of Conferences direction finding location the least squares method kalman filter disturbance detection |
title | Dual-station direction finding location based on disturbance detection |
title_full | Dual-station direction finding location based on disturbance detection |
title_fullStr | Dual-station direction finding location based on disturbance detection |
title_full_unstemmed | Dual-station direction finding location based on disturbance detection |
title_short | Dual-station direction finding location based on disturbance detection |
title_sort | dual station direction finding location based on disturbance detection |
topic | direction finding location the least squares method kalman filter disturbance detection |
url | https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_02025.pdf |
work_keys_str_mv | AT hewentao dualstationdirectionfindinglocationbasedondisturbancedetection AT chenxin dualstationdirectionfindinglocationbasedondisturbancedetection AT xingshunxiang dualstationdirectionfindinglocationbasedondisturbancedetection AT caitianxing dualstationdirectionfindinglocationbasedondisturbancedetection |