COMBINATION OF KALMAN FILTER AND FUZZY LOGIC TO SOLVE FILTER PROBLEM, TRACKING OBJECTS ON THE SEA

11 views

Authors

DOI:

https://doi.org/10.54939/1859-1043.j.mst.76.2021.37-45

Keywords:

Radar detector system; Distributed target class; Point target; multi - shiny dots target; Radar portrait; Fuzzy logic.

Abstract

The paper presents an approach that combines a form of Kalman filter as a-b filter with fuzzy logic to solve the problem of targets tracking of objects at sea. The use of radar probes with narrow width pulses can lead to multiple markers from the same target. The  filter a-b belongs to the class of simple and classical K filters. The use of fuzzy logic allows adaptive changes a and b to optimally synthesize the true mark used to track and develop the object's trajectory. The aforementioned approach allows to partially solve the orbital loss phenomenon when using a radar detector with a narrow width pulse.

References

. Hoàng Thọ Tu, “Cơ sở xây dựng đài ra đa cảnh giới phòng không,” Học viện KTQS. Tái bản có cập nhật lần thứ nhất, bổ sung 2005.

. Một số kết quả đo thực nghiệm sử dụng ra đa có xung hẹp MR-102 của Phòng Kỹ thuật Anten – Đường truyền/ Viện Ra đa/Viện KHCNQS năm 2018 – 2019.

. Amirzadeh, A.; Karimpour, A. “An interacting Fuzzy-Fading-Memory-based Augmented Kalman Filtering method for maneuvering target tracking”. Digit. Signal Process. 2013, 23, 1678–1685.

. Zhou, H.; Huang, H.; Zhao, H.; Zhao, X.; Yin, X. “Adaptive Unscented Kalman Filter for Target Tracking in the Presence of Nonlinear Systems Involving Model Mismatches. Remote Sens”. 2017, 9, 657.

. Баев А.Б., Кузнецов Ю.В. “Оценивание параметров радиолокационных сигналов в сверхкороткоимпульной радиолокации”, 10-я Международная конференция «Цифровая обработка сигналов и её применение», М.: ИПУ РАН, март 2008 г.

. Головачев М.В. “Когерентная СКИ РЛС с последовательной квадратурной обработкой сигналов”. II-ые Всероссийские Армандовские чтения “Радиофизические методы в дистанционном зондировании сред”, Муром, 2013.

. Горбунова. А.А. “Разработка алгоритма получения точечного портрета сложной цели по комплексному радиолокационному изображению” Электронный журнал «Труды МАИ». Выпуск № 45. УДК 621.391.2. www.mai.ru/science/trudy/

. Чугай.К. Н. “Современные методы формирования радиолокационных изображений заглубленных объектов”. Журнал Новости Науки и технологий No1.(44) 2018 стр 3-10.

. Bao. N. F, Hieu. D. Q. “Synthesis of an algorithm for trajectory processing of object by methods of data clustering theory”. Journal of the Russian Universities. Radioelectronics. Apr. 2021, vol. 23, No2, УДК 621.391.6

. Kenshi Saho. “Performance analysis of α-β-γ tracking filters using position and velocity measurements”. Department of Electronic and Computer Engineering, Ritsumeikan University, EURASIP Journal on Advances in Signal Processing (2015) 2015:35 . DOI 10.1186/s13634-015-0220-3

. Shirman.Y.D “Computer Simulation of target Radar scatering recognition, detestion and tracking” 2002. Artech House, Inc.

. Yaankow Bar – Shalom “Tracking and Data Fusion” 2012. 3-rd Edition. NY

Published

12-12-2021

How to Cite

Võ Xung Hà. “COMBINATION OF KALMAN FILTER AND FUZZY LOGIC TO SOLVE FILTER PROBLEM, TRACKING OBJECTS ON THE SEA”. Journal of Military Science and Technology, no. 76, Dec. 2021, pp. 37-45, doi:10.54939/1859-1043.j.mst.76.2021.37-45.

Issue

Section

Research Articles