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EE-608 Course project Adaptive Kalman Structure for Passive Undersea Tracking

EE-608 Course project Adaptive Kalman Structure for Passive Undersea Tracking. Pannir Selvam E (05407703) Vikram Mehta Praveen Goyal (05307810) Guided By Prof. U.B. Desai. AIM . To estimate the trajectory of a submarine from passive measurements using a Two Stage Kalman Filter Structure.

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EE-608 Course project Adaptive Kalman Structure for Passive Undersea Tracking

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  1. EE-608 Course projectAdaptive Kalman Structure for Passive Undersea Tracking Pannir Selvam E (05407703) Vikram Mehta Praveen Goyal (05307810) Guided By Prof. U.B. Desai

  2. AIM To estimate the trajectory of a submarine from passive measurements using a Two Stage Kalman Filter Structure

  3. Time Delays Correlation Bearing Function Bearing Filter Non Linear Range Function Time Delay Filter (1) Range Filter Time Delay Filter (2) Time Delay Process Variance Moving Source Block diagram of Two Stage Kalman Structure Second Stage Adaptive Feedback Loop

  4. Dynamic model & measurement equation used

  5. References • “An Adaptive Two Stage Kalman Structure for Passive Undersea Tracking” by Mark R Allen and Louis A King, IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 16, No. 1, Jan 1988 • Misha Schwartz • Adaptive Filter Theory by Simon Haykin

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