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Jawahar, A.
- Feasible Course Trajectories for Undersea Sonar Target Tracking Systems
Authors
1 Dept of Electrical and Electronics Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, A.P., IN
Source
Indian Journal of Automation and Artificial Intelligence, Vol 3, No 1 (2016), Pagination: 1-5Abstract
Background/Objectives: In underwater sonar environment, the target motion parameters can be obtained only when observer maneuvers in some particular manner is satisfying certain requirements.
Methods/Statistical analysis: The algorithm is evaluated using Line of sight measurements which are obtained from intercept radar. Though the recommended maneuver may not be optimum, observability is ensured.
Findings: Recursive Maximum Likelihood Estimator with initial estimation from Recursive Pseudo Linear Estimator is used to evaluate the process.
Application/Improvements: For the purpose of analysis, the proposed observer maneuver is used for a typical scenario at low, medium and high target angles. Convergence time and the accuracy of the solution in Monte-Carlo simulation are presented in detail.
Keywords
Estimation, Sonar, Simulation, Target Motion Analysis, Maneuver, Line of Sight Measurements.Full Text
References
- J. A. Fawcett. Effect of course maneuvers on bearings-only range estimation. IEEE Transactions on Acoustics, Speech and Signal processing. 1988; ASSP -36(8), 1193-1199.
- A.G.Lindgren, K.F. Gong. Properties of a bearings only motion analysis estimator: An interesting case study in system observability. In: Proceedings 12th Asilomar Conference Circuits, Systems and Computers. 1978; 50-58.
- S.C.Nardone, V.J. Aidala. Observability criteria for bearings-only target motion analysis. IEEE transactions on aerospace and electronic systems. 1981; AES-17(2).
- D. T. Pham. Some quick and efficient methods for bearings-only target motion analysis. IEEE Transactions on Acoustics, Speech and Signal processing. 1993; ASSP -41(9), 2737-2751.
- A.Jawahar, S.Koteswara Rao. Modified Polar Extended Kalman Filter (MP-EKF) for Bearings - Only Target Tracking. Indian Journal of Science and Technology. 2016; 9(26), 1-5.
- A.Jawahar, S.Koteswara Rao. Recursive Multistage Estimator for Bearings only Passive Target Tracking in ESM EW Systems. Indian Journal of Science and Technology. 2015; 8(26), 1-5.
- A.Jawahar, S. Koteswara Rao, A. Sampath Dakshina Murthy, K.S. Srikanth, Rudra Pratap Das. Underwater Passive Target Tracking in Constrained Environment. Indian Journal of Science and Technology. 2015; 8(35), 1-4.
- Data Fusion of Towed Array and Hull Mounted Array Measurements for Passive Acoustic and Electromagnetic Underwater Localisation and Classification
Authors
1 Dept of Electrical and Electronics Engg, Sanketika Institute of Technology and Management, Visakhapatnam, AP, IN
Source
Indian Journal of Automation and Artificial Intelligence, Vol 3, No 1 (2016), Pagination: 1-5Abstract
Background/Objectives: In our earlier work, data fusion with specific application to underwater tracking environment was explored. The target can be tracked using array bearings, while it is moving with constant velocity and maneuvering occasionally.
Methods/Statistical analysis: In this paper, it is shown that if data fusion is carried out using the bearing measurements available from Towed Array (TA) along with hull mounted array’s bearings, then tracking of a continuously moving target can be carried out easily.
Findings: This algorithm is independent of ownship maneuver for the observability of the process. Song and Speyer's modified gain algorithms are utilized with some modifications for estimation.
Application/Improvements: Monte Carlo simulation is performed and results are shown for various typical geometries which revealed that this algorithm is useful naval based applications.
Keywords
Estimation, Sonar, Tracking, Data Fusion, Kalman Filter, Observability, Maneuver.Full Text
References
- V. J. Aidala. Kalman Filter behavior in bearings only tracking applications. IEEE Transactions and Aerospace Electronic Systems. 1979, AES-15(1), 29-39.
- V.J.Aidala, S.C. Nardone. Biased Estimation Properties of the pseudo linear estimator, IEEE Transactions and Aerospace Electronic Systems. 1982, AES-18,(4), 432-441.
- A.G.Lindgren, K.F.Gong. Position and Velocity Estimation via Bearing Observations, IEEE Transactions on Aerospace and Electronic Systems. 1978, AES-14, 564-577.
- V.J. Aidala, S.E.Hammel, Utilization of Modified Polar Coordinates for bearings only tracking. IEEE Transactions Automatic Control. 1983, Ac-28(3), 283-294.
- S.C Nardone, A.G. Lindgren and K.F.Gong. Fundamental properties and performance of conventional bearings only target motion analysis, IEEE Transaction Automatic Control. 1984, Ac -29(9), 775-787.
- S. Koteswara Rao. Pseudo linear estimator for Bearings only Passive target tracking. IEE Proceedings Radar, Sonar and Navigation., 2001, 148(1), 16-22.
- T.L. Song, J.L. Speyer. A stochastic Analysis of a modified gain extended Kalman filter with applications to estimation with bearing only measurements, IEEE Transactions Automatic Control. 1985, Ac -30(10), 940-949.
- P.J. Galkowski, M.A. Islam. An Alternative Derivation of the Modified Gain Function of Song and Speyer. IEEE Transactions Automatic Control. 1991, Ac-36(11), 1323-1326.
- S. Koteswara Rao. Algorithm for detection of maneuvering Targets in Bearings only Passive target Tracking. IEE Proceedings Radar, Sonar and Navigation., 1999, 146(3), 141-146.
- S. Koteswara Rao. Modified gain extended Kalman filter with application to bearings-only passive maneuvering target tracking, IEE Proc., Radar, Sonar and Navigation., 2005, 152(4), 239-244.
- A.Jawahar, S.Koteswara Rao, Modified Polar Extended Kalman Filter (MP-EKF) for Bearings - Only Target Tracking, Indian Journal of Science and Technology, 2016, 9(26),1-5.
- A.Jawahar, S.Koteswara Rao Recursive Multistage Estimator for Bearings only Passive Target Tracking in ESM EW Systems, Indian Journal of Science and Technology, 2015, 8(26), 1-5.
- A.Jawahar,S. Koteswara Rao, A.Sampath Dakshina Murthy, K.S.Srikanth, Rudra Pratap Das Advanced Submarine Integrated Weapon Control System, Indian Journal of Science and Technology, December 2015, 8(35), 1-3.
- A.Jawahar, S. Koteswara Rao, A.Sampath Dakshina Murthy, K.S. Srikanth, Rudra Pratap Das. Multi-sensor Submarine Surveillance System using MGBEKF, Indian Journal of Science and Technology, 2015 8(35),1-5 .
- A.Jawahar, S. Koteswara Rao, A. Sampath Dakshina Murthy, K.S. Srikanth, Rudra Pratap Das Underwater Passive Target Tracking in Constrained Environment, Indian Journal of Science and Technology, 2015, 8(35), 1-4.
- Advanced Statistically Robust Estimation Algorithm for Underwater Vehicle Localization and Ranging for Sonar Applications
Authors
1 Department of Basic Sciences and Humanities, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh-530041, IN
2 Department of Electrical and Electronics Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh-530041, IN
3 Department of Electronics and Communication Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh-530041, IN
Source
Indian Journal of Automation and Artificial Intelligence, Vol 4, No 1 (2017), Pagination: 1-14Abstract
Objectives: Range and bearing measurements of underwater vehicle is obtained by helicopter which uses dunking sonar. Considering range and bearing measurements the target position is identified and target motion parameters are available to guide the weapon on the target vehicle.
Methods/Statistical analysis: Target motion parameters are finally found by using Extended Kalman filter. Present weapon parameters are initial turning angle, straight run distance and many other which are obtained using the known parameters like speed, course of the helicopter and the target motion parameters.
Findings: Results of Monte Carlo simulation are shown which gives the better performances of the algorithm for typical scenarios using Matlab.
Application/Improvements: The proposed algorithm can be used for undersea sonar based applications.
Keywords
Estimation, Stochastic, Bearing, Line of Sight, Kalman Filter, Sonar, Weapon.Full Text
References
- S.T. Pork, J.G Lee. Design of a practical tracking algorithm with radar measurements. IEEE transactions on Aerospace and Electronic systems. 1998; 34(4), 1337-1344.
- Y. Bar –shalom, Fortman. Tracking and data association. Academic Press. 1991.
- Y. Bar-shalmon, X.R. Lee. Estimation and tracking principles techniques and software. Artech House, London. 1993.
- A.Jawahar, S. K. Rao. Recursive multistage estimator for bearings only passive target tracking in esmew systems. Indian Journal of Science and Technology. 2015; 8(26), 1-5.
- B.O.L. Jagan, S. K. Rao, A. Jawahar, S.K.B. Karishma. Application of bar-shalom and fortmann’s input estimation for underwater target tracking. Indian Journal of Science and Technology. 2016; 9(21), 1-5.
- B.L. Kumari, S.R. Rao, K.P. Raju. Simplified target location estimation for underwater vehicles. Ocean Electronics (SYMPOL). 2013, 1-9.
- M.N.V.S.S. Kumar, G. S. Rao. A new approach for tracking moving objects in underwater environment. Current Science. 2016; 110(7), 1-9.
- Statistically Efficient Control Scheme for Undersea Surveillance for Sonar Ranging and Detection
Authors
1 Department of Computer Science and Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN
Source
Indian Journal of Automation and Artificial Intelligence, Vol 4, No 1 (2017), Pagination: 1-9Abstract
Background/Objectives: Altered Gain Extended Kalman Filter (MGEKF) created by Song and Speyer was ended up being reasonable calculation for edges of just uninvolved target following applications in air. As of late, roughly changed increases are exhibited, which are numerically steady and precise. In this paper, this enhanced MGEKF calculation is investigated for submerged applications with a few adjustments.
Methods/Statistical Analysis: In submerged, the clamor in the estimations is high, turning rate of the stages is low and speed of the stages is additionally low when contrasted and the rockets in air.
Findings: These attributes of the stage are considered in detail and the calculation is changed appropriately to track applications in submerged. Monte-Carlo mimicked comes about for two regular situations are exhibited with the end goal of clarification.
Application/Improvements: From the outcomes it is watched that this calculation is particularly reasonable for this nonlinear edges just latent target following.
Keywords
Estimation, Sonar, Kalman Filter, Simulation, Modified Gain, Angles-Only Target Tracking.Full Text
References
- P.J. Golkoki, M.A. Islam. An alternative derivation of the modified gain function of song and speyer. IEEE Transactions on Automatic Control. 1999, 36(11), 1223-1326.
- M. Longbin, L. Qi, Z. Yiyu, S. Zhongkang. Utilization of the universal linearization in target tracking. IEEE Transactions on Aerospace and Electronic Systems.1997, 2, 941-945.
- T.L. Song, J.L. Speyer. A stochastic analysis of a modified gain extended kalman filter with applications to estimation with bearing only measurements. IEEE Transactions on Automatic Control.1958, 30(10), 940-949.
- Jawahar, S.K. Rao. Modified polar extended kalman filter (MP-EKF) for bearings only target tracking. Indian Journal of Science and Technology. 2016, 9(26), 0974-5645.
- Y.T. Chan, S.W. Rudnicki. Bearings only doppler bearing tracking using instrumental variables. IEEE Transactions on aerospace and electronic Systems. 1992, l 28(4), 1076-1083.
- A. Jawahar, S. Koteswara Rao. Modified Polar Extended Kalman Filter (MP-EKF) for bearings only target tracking. Indian Journal of Science and Technology. 2016, 9 (26), 1-5.
- Jawahar, S. Koteswara Rao, A.S.D. Murthy, K.S. Srikanth, R.P. Das. Advanced submarine integrated weapon control system. Indian Journal of Science and Technology. 2015, 8(35), 1-3.
- Jawahar, S. Koteswara Rao, A.S.D. Murthy, K.S. Srikanth, R.P. Das. Underwater passive target tracking in constrained environment. Indian Journal of Science and Technology. 2015, 8(35), 1-4.
- Jawahar, S. Koteswara Rao, S.K.B. Karishma. Target estimation analysis using data association and fusion. International Journal of Oceans and Oceanography. 2015, 9(2), 203-210.
- Jawahar, S. Koteswara Rao. Recursive multistage estimator for bearings only passive target tracking in ESM EW Systems. Indian Journal of Science and Technology. 2015, 8(26), 1-5.
- Jawahar. Feasible course trajectories for undersea sonar target tracking systems. Indian Journal of Automation and Artificial Intelligence. 2016, 3(1), 1-5.
- Jawahar, V.C. Chakravarthi. Improved Nonlinear Signal Estimation Technique For Undersea Sonar-Based Naval Applications. Innovare Journal of Engineering and Technology. 2016, 4(4), 20-25.
- Jawahar A, V.C. Chakravarthi. Comparative analysis of non linear estimation schemes used for undersea sonar applications. Innovare Journal of Engineering and Technology. 2016, 4 (4), 14-19.
- K.L. Prasanna, S. Koteswara Rao, B.O.L. Jagan, A. Jawahar, S.K.B. Karishma Data Fusion in Underwater Environment. International Journal of Engineering and Technology (IJET). 2016, 8(1), 225-234.
- K.L. Prasanna, S. Koteswara Rao, A. Jawahar, S.K.B. Karishma. Modern Estimation technique for undersea active target tracking. International Journal of Engineering and Technology. 2016, 8(2), 791-803.
- K.L. Prasanna, S. Koteswara Rao, A. Jawahar, S.K.B. Karishma. Ownship Strategies during Hostile Torpedo Attack. Indian Journal of Science and Technology. 2016, 9 (16), 1-5.