ITM Web Conf.
Volume 47, 20222022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|Number of page(s)||8|
|Section||Algorithm Optimization and Application|
|Published online||23 June 2022|
Dual-station direction finding location based on disturbance detection
1 Institude of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China
2 Shanghai Institute of Mechanical and Electrical Engineering, China
* Corresponding author: email@example.com
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.
Key words: Direction finding location / The least squares method / Kalman filter / Disturbance detection
© The Authors, published by EDP Sciences, 2022
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