Abstract
This paper is mainly about the underwater object (Submarine) tracking as it plays a crucial role in maritime environment. Earlier many methods have been developed by using only bearing measurement which requires great computation time. The proposed method in the paper Modified Gain Extended Kalman Filter (MGEKF) focuses on the use of elevation measurement also in addition to bearing for tracking. This reduces the complexity in the detection of the object which is presented in the simulated results.
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Kavitha Lakshmi, M., Koteswara Rao, S., Subrahmanyam, K., Gopi Tilak, V. (2018). Passive Object Tracking Using MGEKF Algorithm. In: Satapathy, S., Tavares, J., Bhateja, V., Mohanty, J. (eds) Information and Decision Sciences. Advances in Intelligent Systems and Computing, vol 701. Springer, Singapore. https://doi.org/10.1007/978-981-10-7563-6_29
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DOI: https://doi.org/10.1007/978-981-10-7563-6_29
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