Refine your search
Collections
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Jawahar, A.
- Characterization Studies of Non-Linear Sonar Signal Estimation Scheme for Underwater Tracking and Surveillance for Naval Applications
Abstract Views :215 |
PDF Views:2
Authors
Affiliations
1 Department of Electrical and Electronics Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN
1 Department of Electrical and Electronics Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN
Source
Fuzzy Systems, Vol 8, No 9 (2016), Pagination: 243-248Abstract
Altered Gain Extended Kalman Filter (MGEKF) created by Song and Speyer [1] was ended up being reasonable calculation for edges just uninvolved target following applications in air. As of late, roughly changed increases are exhibited, which are numerically steady and precise [2]. In this paper, this enhanced MGEKF calculation is investigated for submerged applications with a few adjustments. 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. 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. 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.
- An Innovative Approach to More Reliable and Automated Target Characterisation Studies for Underwater Maritime Survelliance
Abstract Views :163 |
PDF Views:2
Authors
A. Jawahar
1,
Rajya Lakshmi
1
Affiliations
1 Department of Electrical and Electronics Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN
1 Department of Electrical and Electronics Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN
Source
Fuzzy Systems, Vol 9, No 4 (2017), Pagination: 61-66Abstract
Target Motion Analysis (TMA) using conventional passive bearing together with frequency measurements is explored. This approach offers one tactical advantage over the classical bearings-only TMA. It makes the ownship maneuver superfluous. In this paper, TMA is carried out using Unscented Kalman Filter (UKF). Inclusion of range, course and speed parameterization is proposed in UKF target state vector to obtain the convergence of the solution fast. Finally the results of various scenarios in Monte-Carlo simulation are presented. This method can be easily adopted for underwater passive target tracking application.
Keywords
Sonar, Estimation, Target Tracking, Ownship, Range, Course, Speed.- Virtual Target Intercept Guidance Algorithm
Abstract Views :175 |
PDF Views:1
Authors
Affiliations
1 Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN
2 Dilla University, ET
3 Naval Science Technological Laboratories, Visakhapatnam, IN
1 Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN
2 Dilla University, ET
3 Naval Science Technological Laboratories, Visakhapatnam, IN
Source
Fuzzy Systems, Vol 10, No 2 (2018), Pagination: 34-39Abstract
The Contact Motion Analysis (CMA) estimates the target motion parameters of the target. Intercept guidance algorithm is used when all the estimated target motion parameters viz. Range, bearing, course and speed of the target are available. This method was used initially for non-homing weapons. These days, people are using for homing weapons with proximity fuse to destroy the target. The estimated target motion parameters are used to find out the initial turn angle (ita) and weapon straight run distance to hit the target. Once the weapon is fired, it turns as per the presetita and then moves in straight path to hit the target. The algorithm also finds out the weapon run time to hit the target. Sometimes hit may not be possible due to the limitations in speed, time and endurance of the weapon. This paper presents the guidance algorithm for undersea maritime target ranging and detection.Keywords
Estimation, Sonar, Target Ranging, Homing Range, Intercept Guidance, Virtual Target.References
- S.Blackman and R.Popolli, “Design and Analysis of Moderen Tracking Systems”, Norwood, MA, Artech House,1999.
- A.G.Lindgren, K.F.Gong, “Position and velocity estimation via bearing observations”, IEEE Trans. Aerosp. Electron.Syst., vol. AES-14, July 1978, PP 564-577
- V.J.Aidala and S.E.Hammel, “Utilization of modified polar coordinates for bearings only tracking”, IEEE Trans. Automatic Control Vol. Ac-28, No.3, March1983, PP 283-294.
- W.Grossman, “Bearings only tracking : A hybrid coordinate system approach”, J.Guidance, Vol. 17, No.3, May-June,1994, PP 451-457.
- T.L.Song& J.L. Speyer, “A stochastic analysis of a modified gain extended Kalman filter with applications to estimation with bearings-only measurements”, IEEE Trans. Automatic Control Vol. Ac -30, No.10, October 1985, PP 940-949.
- BrankoRistic, Sanjeev Arulampalam and Neil Gordon, “Beyond the Kalman Filter: Particle Filters for Tracking Applications”, Artech House, 2004.
- Dan Simon, “Optimal State Estimation: Kalman, and Nonlinear Approaches”, John Wiley & Sons, Inc. 2006.
- Wagner, D.H., Mylander, W.C.,and Sanders,T.J, “Naval operational Analysis”, (3rd edition), Naval Institute Press,1999.
- K. Spingran and H.L. Wieidermann ," Linear Regression and Prediction for tracking maneuvering aircraft targets. ", IEEE Trans on AES , Vol . AES. 8, No. 6, Nov. '72.
- Don.J.Torrieri,”Statistical Theory of Passive Location Systems.”, IEEE Trans on AES, Vol. AES. 20, No.2, March. 1984.
- LesawR.Paradowski,” Uncertainity Ellipses and Their Application to Inteval Estimation of Emitter Position.”, IEEE Trans on AES, Vol.AES. 33, No.1, January. 1997.
- A.Jawahar, S. Koteswara Rao, A.SampathDakshina Murthy, K.S. Srikanth, RudraPratap Das “Multi-sensor Submarine Surveillance System using MGBEKF”, Indian Journal of Science and Technology, Vol 8(35), DOI: 10.17485/ijst/2015/v8i35/82088
- M. Morgado, P. Oliveira, C. Silvestre, and J. F. Vasconcelos, “Embedded vehicle dynamics aiding for USBL/INS underwater
- navigation system,” IEEE Transactions on Control Systems Technology, vol. 22, no. 1, pp. 322–330, 2014.
- A. Jayasiri, R. G. Gosine, G. K. I. Mann, and P. McGuire, “AUV based plume tracking: a simulation study,” Journal of Control
- Science and Engineering, vol. 2016, Article ID 1764527, 15 pages, 2016.
- G. E. Packard, A. Kukulya, T. Austin et al., “Continuous autonomous tracking and imaging of white sharks and basking
- sharks using a remus-100 auv,” in Proceedings of the IEEEOCEANS, pp. 1–5, San Diego, Calif, USA, September 2013.
- N. Stilinovic, D. Nad, and N. Miskovic, “Auv for diver assistance
- and safety—design and implementation,” in Proceedings of the OCEANS, pp. 1–4, Geneva, Switzerland, May 2015.
- T. Zhang, W. Zeng, L. Wan, and S. Ma, “Underwater target tracking based on Gaussian particle filter in looking forward sonar images,” Journal of Computational Information Systems, vol. 6, no. 14, pp. 4801–4810, 2010.
- D. W. Krout, W. Kooiman, G. Okopal, and E. Hanusa, “Object tracking with imaging sonar,” in Proceedings of the 15th International Conference on Information Fusion (FUSION ’12), pp.
- –2405, IEEE, Singapore, September 2012.
- K. M. Han and H. T. Choi, “Shape context based object recognition and tracking in structured underwater environment,” in Proceedings of the IEEE International Conference on Geoscience and RemoteSensing Symposium, pp. 617–620, 2011.
- S. Y. Chen, “Kalman filter for robot vision: a survey,” IEEE Transactions on Industrial Electronics, vol. 59, no. 11, pp. 4409–4420, 2012.
- D. Eickstedt, M. Benjamin, H. Schmidt et al., “Adaptive tracking of underwater targets with autonomous sensor networks,” Journal of Underwater Acoustics, vol. 56, pp. 465–495, 2006.
- H. Shi, W. Wang, N. M. Kwok, and S. Y. Chen, “Game theory for wireless sensor networks: a survey,” Sensors, vol. 12, no. 7, pp. 9055–9097, 2012.
- S. Chen, W. Huang, C. Cattani, and G. Altieri, “Traffic dynamics on complex networks: a survey,” Mathematical Problems in Engineering, vol. 2012, Article ID 732698, 23 pages, 2012.
- J. Xue, M. Li, W. Zhao, and S. Chen, “Bound maxima as a traffic feature under DDOS flood attacks,” Mathematical Problems in Engineering, vol. 2012, Article ID 419319, 20 pages, 2012.
- L. Z. Xu, X. F. Li, and S. X. Yang, “Wireless network and communication signal processing,” Intelligent Automation & Soft Computing, vol. 17, no. 8, article 1019, 2011.
- I. F. Akyildiz, D. Pompili, and T. Melodia, “Underwater acoustic sensor networks: research challenges,” Ad Hoc Networks, vol. 3, no. 3, pp. 257–279, 2005.
- C. H. Yu, K. H. Lee, J. W. Choi, and Y. B. Seo, “Distributed single target tracking in underwater wireless sensor networks,” in Proceedings of the SICE Annual Conference, pp. 1351–1356, Japan, August 2008.
- G. Isbitiren and O. B. Akan, “Three-dimensional underwater target tracking with acoustic sensor networks,” IEEE Transactions on Vehicular Technology, vol. 60, no. 8, pp. 3897–3906, 2011.
- E. Kim, S. Lee, C. Kim, and K. Kim, “Bearings-only tracking systems with distributed floating beacons in underwater sensor networks,” in Proceedings of the IEEE/IFIP 8th International Conference on Embedded and Ubiquitous Computing, (EUC ’10), pp. 311–315, December 2010.
- L. Z. Xu, X. F. Ding, X. Wang, G. F. Lv, and F. C. Huang, “Trust region based sequential quasi-Monte Carlo filter,” Acta Electronica Sinica, vol. 39, no. 3 A, pp. 24–30, 2011.
- S. Y. Chen and Z. J. Wang, “Acceleration strategies in generalized belief propagation,” IEEE Transactions on Industrial Informatics, vol. 8, no. 1, pp. 41–48, 2012.
- X. F. Ding, L. Z. Xu, X. Wang et al., “Robust visual object tracking using covariance features in QuasiMonte Carlo filter,” Intelligent Automation and Soft Computing, vol. 17, no. 5, pp. 571–582, 2011.
- X. Wang and Z. Tang, “Modified particle filter-based infrared pedestrian tracking,” Infrared Physicsand Technology, vol. 53, no. 4, pp. 280–287, 2010.
- S. Y. Chen, H. Tong, Z. Wang, S. Liu, M. Li, and B. Zhang, “Improved generalized belief propagation for vision processing,” Mathematical Problems in Engineering, vol. 2011, Article ID 416963, 12 pages, 2011.
- C. Cattani, “Shannon wavelets for the solution of integro-differential equations,” Mathematical Problemsin Engineering, vol. 2010, Article ID 408418, 22 pages, 2010.
- a—Part I: An assessment of feasibility (Periodical style),” IEEE Trans. Electron Devices, vol. ED-11, pp. 34–39, Jan. 1959.
- S. Chen, B. Mulgrew, and P. M. Grant, “A clustering technique for digital communications channel equalization using radial basis function networks,” IEEE Trans. Neural Networks, vol. 4, pp. 570–578, July 1993.
- R. W. Lucky, “Automatic equalization for digital communication,” Bell Syst. Tech. J., vol. 44, no. 4, pp. 547–588, Apr. 1965.
- S. P. Bingulac, “On the compatibility of adaptive controllers (Published Conference Proceedings style),” in Proc. 4th Annu. Allerton Conf. Circuits and Systems Theory, New York, 1994, pp. 8–16.
- G. R. Faulhaber, “Design of service systems with priority reservation,” in Conf. Rec. 1995 IEEE Int. Conf. Communications, pp. 3–8.
- W. D. Doyle, “Magnetization reversal in films with biaxial anisotropy,” in 1987 Proc. INTERMAG Conf., pp. 2.2-1–2.2-6.
- G. W. Juette and L. E. Zeffanella, “Radio noise currents n short sections on bundle conductors (Presented Conference Paper style),” presented at the IEEE Summer power Meeting, Dallas, TX, June 22–27, 1990, Paper 90 SM 690-0 PWRS.
- J. G. Kreifeldt, “An analysis of surface-detected EMG as an amplitude-modulated noise,” presented at the 1989 Int. Conf. Medicine and Biological Engineering, Chicago, IL.
- J. Williams, “Narrow-band analyzer (Thesis or Dissertation style),” Ph.D. dissertation, Dept. Elect. Eng., HarvardUniv., Cambridge, MA, 1993.
- N. Kawasaki, “Parametric study of thermal and chemical no equilibrium nozzle flow,” M.S. thesis, Dept. Electron. Eng., Osaka Univ., Osaka, Japan, 1993.
- J. P. Wilkinson, “Nonlinear resonant circuit devices (Patent style),” U.S. Patent 3 624 12, July 16, 1990.
- IEEE Criteria for Class IE Electric Systems (Standards style), IEEE Standard 308, 1969.
- Letter Symbols for Quantities, ANSI Standard Y10.5-1968.
- R. E. Haskell and C. T. Case, “Transient signal propagation in lossless isotropic plasmas (Report style),” USAF Cambridge Res. Lab., Cambridge, MA Rep. ARCRL-66-234 (II), 1994, vol. 2.
- E. E. Reber, R. L. Michell, and C. J. Carter, “Oxygen absorption in the Earth’s atmosphere,” Aerospace Corp., Los Angeles, CA, Tech. Rep. TR-0200 (420-46)-3, Nov. 1988.
- (Handbook style) Transmission Systems for Communications, 3rd ed., Western Electric Co., Winston-Salem, NC, 1985, pp. 44–60.
- Motorola Semiconductor Data Manual, Motorola Semiconductor Products Inc., Phoenix, AZ, 1989.
- (Basic Book/Monograph Online Sources) J. K. Author. (year, month, day). Title (edition) [Type of medium]. Volume(issue). Available: http://www.(URL)
- J. Jones. (1991, May 10). Networks (2nd ed.) [Online]. Available: http://www.atm.com
- (Journal Online Sources style) K. Author. (year, month). Title. Journal [Type of medium]. Volume (issue), paging if given. Available: http://www.(URL)
- R. J. Vidmar. (1992, August). On the use of atmospheric plasmas as electromagnetic reflectors. IEEE Trans. Plasma Sci. [Online]. 21(3). pp. 876—880. Available: http://www.halcyon.com/pub/journals/21ps03-vidmar
- Intelligent Extraction of Optimum Power from HRES Using MPPT Variants
Abstract Views :166 |
PDF Views:1
Authors
Affiliations
1 Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy College of Engineering, Andhra Pradesh, IN
2 Department of Electrical and Electronics Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN
3 Department of Electrical and Electronics Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN
1 Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy College of Engineering, Andhra Pradesh, IN
2 Department of Electrical and Electronics Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN
3 Department of Electrical and Electronics Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN