적응 빔형성기 기반의 위성 시스템 구조 연구

Abstract

The adaptive beamformer based on the AOA estimation, interference cancellation, and transmission beamforming techniques is a cutting edge technology for efficient acquisition of various data. In order to effectively acquire data, it is necessary to estimate the accurate AOA of signal, and to suppress unnecessary interference signals. In this thesis, we present the structure of a satellite system based on the adaptive beamformer consisted of an AOA estimator and an interference canceler, a signal processing and D/B unit, and a transmit beamformer, for efficient data acquisition. We, also, provide the received signal model including the desired signal, interference or jamming signal, and noise. For estimating AOA of various signals, we employ the Multiple Signal Classification (MUSIC) algorithm and, for efficiently suppressing high-power interference signals, we consider the Minimum Variance Distortionless Response (MVDR) algorithm. In addition, we employ the Minimum Mean Square Error (MMSE) algorithm for efficiently transmitting the specific data, to a control center. Also, we provide computer simulation examples to show the performance of the presented satellite system based on adaptive beamformer.