Performance Evaluation of Non-Linear State Estimation Filter in Presence of Non Gaussian Underwater Environment
J Srimukhi, S. Koteswara Rao, E Bhagya Sri, M. Kavitha Lakshmi · 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) · 2021
This research paper mainly focusing on assessing the functioning of filter in Non-Gaussian noise (Non-GN) in underwater target tracking environment. Here the measurements coming from the target like bearings and elevation measurements are consider to be corrupted with Gaussian noise(GN) and non-Gaussian noises(Non-GN). Gaussian mixture (GM) and short noise (SN) are consider in Non-GN and assuming that in phase sampled measurements are generated spontaneously with some specific time, and increases the burden of filter. Calculating the efficiency of Modified gain extended kalman filter (MGEKF) and cubature kalman filter (CKF), by elevating plenty of scenarios. Comparing those results with Cramer-Rao Lower bound (CRLB).