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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Main Authors: He Wentao, Chen Xin, Xing Shunxiang, Cai Tianxing
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
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.
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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