Three-Dimensional Tracking of a Target under Angle-Frequency Measurements with Multiple Frequency Lines
Affiliation:
1. System Engineering Department, Sejong University, Seoul 05006, Republic of Korea
Abstract
This article considers tracking a constant-velocity underwater target, which emits sound with distinct frequency lines. By analyzing the target’s azimuth, elevation and multiple frequency lines, the ownship can estimate the target’s position and (constant) velocity. In our paper, this tracking problem is called the 3D Angle-Frequency Target Motion Analysis (AFTMA) problem. We consider the case where some frequency lines disappear and appear occasionally. Instead of tracking every frequency line, this paper proposes to estimate the average emitting frequency by setting the average frequency as the state vector in the filter. As the frequency measurements are averaged, the measurement noise decreases. In the case where we use the average frequency line as our filter state, both the computational load and the root mean square error (RMSE) decrease, compared to the case where we track every frequency line one by one. As far as we know, our manuscript is unique in addressing 3D AFTMA problems, such that an ownship can track an underwater target while measuring the target’s sound with multiple frequency lines. The performance of the proposed 3D AFTMA filter is demonstrated utilizing MATLAB simulations.
Funder
National Research Foundation of Korea faculty research fund of Sejong university
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference13 articles.
1. Jauffret, C., Blanc-Benon, P., and Pillon, D. (July, January 30). Multi frequencies and bearing target motion analysis: Properties and sonar applications. Proceedings of the 2008 11th International Conference on Information Fusion, Cologne, Germany. 2. Johannesson, P., and Carlheim-Muller, N. (1993). EKF Doppler-Bearing Tracking with Two Frequency Lines. [Master’s Thesis, Lund Institute of Technology]. 3. Lai, H.C., Yang, R., Ng, G.W., Govaers, F., Ulmke, M., and Koch, W. (2017, January 10–12). Bearings-only tracking and Doppler-bearing tracking with inequality constraint. Proceedings of the 2017 Sensor Data Fusion: Trends, Solutions, Applications (SDF), Bonn, Germany. 4. Chen, H., Han, C., and Lian, F. (2013, January 5–8). Doppler-bearing passive tracking using Gaussian mixture probability hypothesis density filter. Proceedings of the 2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013), KunMing, China. 5. Bearings-only and Doppler-bearing tracking using instrumental variables;Chan;IEEE Trans. Aerosp. Electron. Syst.,1992
|
|