Title :
Amplitude Normalization Calibration Method for Antenna Channel Uncertainty
Author :
Weijian Si ; Di Wu ; Yong Liu
Author_Institution :
Coll. of Inf. & Commun. Enginering, Harbin Eng. Univ., Harbin, China
Abstract :
In the passive direction finding system, the performance of the spatial spectrum estimation algorithm will be significantly reduced due to mismatch between the ideal signal model and actual signal environments. In this paper, we analyze reasons for angular resolution and direction precision decrease of the Multiple Signal Classification (MUSIC) algorithm, build an actual mathematic model of antenna receiving signals based on amplitude and phase errors, and propose a real-time calibration method for channel uncertainty based on amplitude normalization and phase 0° calibration. According to this method, the performance of the MUSIC algorithm is improved by suppressing the random noise and increasing the precision and angular resolution of the MUSIC algorithm. Simulation results and experimental results verify the correctness of this method.
Keywords :
antennas; calibration; direction-of-arrival estimation; directive antennas; interference suppression; signal classification; MUSIC algorithm; actual signal environments; amplitude normalization calibration method; angular resolution; antenna channel uncertainty; direction precision; ideal signal model; multiple signal classification algorithm; passive direction finding system; phase error; random noise suppression; Antenna arrays; Arrays; Calibration; Covariance matrix; Directive antennas; Multiple signal classification; Uncertainty; MUSIC algorithm; amplitude normalization; direction finding system; real-time calibration;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-5034-1
DOI :
10.1109/IMCCC.2012.343
