Acceptance Criteria of Bearings-only Passive Target Tracking Solution

Abstract

In passive target tracking, target motion parameters (TMP) i.e. range, course, and speed are estimated using bearing measurements. In the simulation mode, the accuracy of the estimated solution can be calculated, as true values are available. In the actual scenario, the true values of TMP are not readily obtainable. In this research, the focus is laid on the evolution of the acceptance criterion of the TMP in the actual scenario. Detailed mathematical modeling is carried out and an unscented Kalman filter (UKF) is used to estimate TMP. The state vector covariance matrix of UKF is utilized to express the errors in estimated TMP and an acceptance criterion is derived in terms of the standard deviation of errors in estimated TMP. Submarine to submarine tracking is carried out and scenarios are chosen accordingly. Several low angle on target bow (ATB) scenarios are used in the Monte-Carlo simulation and the results are presented. A similar procedure can be carried out for medium and high ATB scenarios and a submarine to ship or vice-versa passive target tracking.

KEYWORDS:

• Non-linear systems
• Optimal filtering
• Sonar
• Statistical signal processing
• Target tracking

ACKNOWLEDGEMENTS

This research was supported by Sonar Signal Behavior Panel, Naval Research Board, DRDO, via a project: NRB-362/SSB/15-16. The authors thank NRB; Director, NSTL, and Chairman, KLEF (Deemed to be University) for their encouragement.

Additional information

Funding

This research was supported by Sonar Signal Behavior Panel, Naval Research Board, DRDO, via a project: NRB-362/SSB/15-16.

Notes on contributors

S. Koteswara Rao

S Koteswara Rao, former scientist “G”, NSTL, DRDO, Visakhapatnam is currently working as professor in Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, AP, India. He received BTech in 1977 at JNTU and ME in 1979, PSG College of Technology, Coimbatore, and PhD at Andhra University all in electrical engineering Department. He published several papers in international conferences and journals in the field of signal processing. He is a fellow member of IETE.

M. Kavitha Lakshmi

M Kavitha Lakshmi is a research scholar in the Department of Computer Science and Engineering in Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. She completed her BTech in 2013 at JNTU Kakinada and MTech in 2015 at JNTU Kakinada in CSE. Email: [email protected]

Kausar Jahan

Kausar Jahan is a research scholar in Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Guntur, AP, India. She completed her BTech in 2009 at JNTU Kakinada and MTech in 2015 at JNTU Kakinada in ECE. She is presently working as a women scientist WOS-A. Email: [email protected]

G. Naga Divya

G Naga Divya graduated in electronics and communication engineering from Koneru Lakshmaiah College of Engineering, Acharya Nagarjuna University, Guntur, AP, India in 2010 and did master's degree with a specialization in radar and microwave engineering from Andhra University in 2014. Presently working as a research scholar in Dept of ECE in KLEF AP, India. Email: [email protected]

B. Omkar Lakshmi Jagan

B Omkar Lakshmi Jagan, research scholar in Electrical and Electronics Engineering Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, AP, India. He received his BTech degree from Sri Sivani College of Engineering, affiliated with JNTU Kakinada, AP, India in 2014, and his MTech degree from the Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, AP, India in 2016 under the Electrical and Electronic Engineering Department. He published many articles in the field of statistical signal processing, control systems, and power systems in international journals. He is a student member of IEEE, IAENG, and Marine Technology Society. He is a senior ISRD and SDIWC member, as well. Email: [email protected]