Super-resolution spectrum estimation based on orthogonal redundancy sampling
Li Yang①; Dai Bowei②; Xiao Yanxia③; Liang Liwan①;Pan Weifeng①; Chen Yaqin①; Feng Zhenghe①
①State Key Lab. on Microwave & Digital Comm.,Tsinghua Univ., Beijing 100084 China;②Institute of Electronics Chinese Academy of Sciences Beijing 100080 China;③Dept. of Autom. Contl Beijing Univ. of Aeronaut. & Astronant., Beijing 100083 China
Abstract:A novel method based on orthogonal redundancy sampling is proposed for har-monies estimation, which utilizes orthogonal redundancy sampling to obtain a signal with the information of its frequency range, and decomposes signal s auto-correlation matrix into the summation of rank-1 matrixes to estimate frequency of harmonics with the information. The results are compared with that of MUSIC and AR algorithms, and find that this method has a lower SNR threshold and higher range resolution.