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oceanic-signal-processing

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rbga / Underwater-Object-Tracking-using-SONAR-and-Unscented-Kalman-Filter

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Underwater Object Tracking using SONAR and Unscented Kalman Filter is a simulation aimed at modeling an underwater object tracking scenario using SONAR and the Unscented Kalman Filter (UKF). The project utilizes the Phased Array Toolbox in MATLAB to implement the SONAR equations in real-time.

signal-processing matlab kalman-filtering unscented-kalman-filter kalman-filter target-localization underwater-navigation nonlinear-dynamic-systems underwater-object-tracking sonar-simulation matlab-phased-array-toolbox active-sonar-system target-detection-algorithm oceanography-simulation autonomous-underwater-robotics underwater-technology marine-surveillance hydrophone-receiver phased-array-sensors oceanic-signal-processing
  • Updated Jul 27, 2023
  • MATLAB

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