V3I1P57

Synthesis of a Range-Measuring and Angle-Measuring Channel Filtering Algorithm to Estimate the Acceleration of a Maneuvering Air Target

Ta Dai Giang¹*

Abstract

Accurate estimation of acceleration is a critical requirement in modern air target tracking systems, particularly for maneuvering targets subject to high dynamics and abrupt changes in motion. Traditional tracking algorithms based solely on kinematic state estimation often exhibit degraded performance when applied to highly maneuverable air targets, especially in the presence of measurement noise and nonlinear observation models. This paper presents the synthesis of a combined filtering algorithm utilizing both range-measuring and angle-measuring channels to estimate the acceleration of a maneuvering air target. The proposed approach exploits the complementary characteristics of range and angular measurements obtained from radar sensors to enhance observability and estimation accuracy. A unified dynamic model of the air target is developed, incorporating acceleration as an augmented state variable. Based on this model, a nonlinear filtering structure is synthesized to process range and angular information jointly. Simulation results demonstrate that the proposed algorithm significantly improves acceleration estimation accuracy compared to single-channel filtering methods, particularly under intensive target maneuvers and noisy measurement conditions. The developed algorithm is suitable for application in missile guidance systems, radar tracking, and air defense fire control systems.

Keywords:

Maneuvering air target, acceleration estimation, range measurement, angle measurement, nonlinear filtering, radar tracking.