Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 16, Pages: 1-6
K. Lakshmiprasanna*, S. Koteswara Rao, A. Jawahar and Sk. B. Karishma
*Author of Corresponding: K. Lakshmiprasanna School of Electrical Sciences, KL University, Vaddeswaram, Guntur – 522502, Andhra Pradesh, India; [email protected]
Background/Objectives: Pseudo Linear Estimator (PLE) is developed for active sonar applications. Methods/Statistical analysis: The PLE offers features of Extended Kalman Filter (EKF). Findings: The results of PLE are compared with that of EKF. The results of MC simulation are presented for typical scenarios. Application/Improvements: In PLE, there is no need to initialize target state vector and its covariance matrix with prior (approximate) knowledge and hence its performance is found to be better than that of EKF.
Keywords: Estimation, Kalman Filter, Pseudo Linear Estimator, Simulation, Target Tracking
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