V3I1P02

Estimation of Oscillation Frequency and Kinematic Parameters of Sinusoidal Maneuvering Targets Using Linear Kalman IMM Filter

Trinh Thi Minh¹ , Vu Quang Luong^2* , Khuat Quang Tien³, Pham Son Tung⁴

Abstract

In maneuvering target tracking and identification systems, accurately estimating the oscillation frequency and kinematic parameters plays an important role in improving trajectory prediction and decision-making. This paper presents a method that employs the Interacting Multiple Model (IMM) filter combining multiple linear Kalman filters to solve the problem of estimating the oscillation frequency and kinematic parameters of a sinusoidal maneuvering target. The state model includes position, velocity, acceleration, and jerk, in which the oscillation frequency is inferred through the probability distribution of submodels with different assumed frequency values. The method is validated through numerical simulations with various parameter configurations, showing fast convergence, low mean squared error, and high reliability under different measurement noise conditions. The research results confirm the feasibility and effectiveness of the linear multi-model Kalman IMM in estimating the frequency and kinematic parameters of sinusoidal maneuvering targets.

Keywords:

Interacting Multiple Model, IMM, linear Kalman filter, oscillation frequency estimation, kinematic parameters, sinusoidal maneuvering target, state estimation