모노펄스 레이더에서 적응형 칼만 필터를 이용한 각 추적 성능 분석

Abstract

Angle error is a factor obstructing to track accurate position in tracking radars. Noise can be divided as follows; thermal noise, servo noise, and glint. The signal transmitted from radar is not reflected from a single point when the signal reflected by complex target. Resultantly, the amplitude and phase of the received signal can be changed because the target has lots of scatterers. The changes of the amplitude and the phase mean Glint and RCS, respectively. Although the Glint and RCS that caused by the same scatters are uncorrelated, however, they are not independent completely. So this paper uses a method for generating the Glint and RCS by using same random number generator. And the time correlations of the Glint and RCS are respectively implemented in frequency domain by using each power spectral density of them. In general, Kalman filter used in tracking radars is designed with assuming thermal noise. But, noise variance varies with range. Therefore this paper purposes adaptive Kalman filter of which measurement noise covariance varies with range. This paper can verify an ability of Kalman filter and adaptive Kalman filter to track KSLV-Ⅰ(Korean Satellite Launch Vehicles).