Unscented Particle Filter Approach for Underwater Target Tracking

Author:

Jagan B. Omkar Lakshmi1ORCID,Rao S. Koteswara1,Jahan Kausar1

Affiliation:

1. Koneru Lakshmaiah Education Foundation, India

Abstract

This research aims to find an appropriate approach to improve system accuracy in the Doppler-bearing tracking (DBT) problem for target estimation. The topic of DBT problem is to achieve a target trajectory using bearing and frequency measurements. The difficulty of DBT problem comes from the nonlinearity terms exposed in the measurement equations. The unscented particle filter approach is proposed to estimate the accuracy in the target motion parameters (TMP). This approach requires the observer maneuver so that the target trajectory is observable. Although in recent research papers, DBT has been proven to work efficiently without observer maneuver, TMP is unknown to the observer, and consequently, there is a need for observer maneuver. So, the algorithm is simulated with observer following s-maneuver and without any maneuver executed by the observer, and results are compared. The effectiveness of the solution and results are determined by using MATLAB simulation. It is shown that the truthfulness of the outcome is superior when the observer performs s-maneuver while compared to that without observer maneuver.

Publisher

IGI Global

Subject

Computer Networks and Communications,Computer Science Applications

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Single target tracking method in low illumination video based on computer vision;2023 3rd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS);2023-02

2. Study on Underwater Target Tracking Technology Based on an LSTM–Kalman Filtering Method;Applied Sciences;2022-05-22

3. Passive Target Tracking in Underwater Environment using Bearing and Frequency Measurements;OCEANS 2022 - Chennai;2022-02-21

4. Evaluation of DB-IEKF Algorithm Using Optimization Methods for Underwater Passive Target Tracking;Mobile Networks and Applications;2022-02-18

5. Measure of nonlinearity for underwater target tracking using hull-mounted sensor;International Journal of Intelligent Computing and Cybernetics;2021-11-04

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