ZENG Hui-yan1,2,3, HUA Yu1,2, LI Shi-feng1,2

(1. National Time Service Center, Chinese Academy of Sciences, Xi’an 710600, China;

2. Key Laboratory of Precision Navigation and Timing Technology, National Time Service Center,

Chinese Academy of Sciences, Xi’an 710600, China;

3. Graduate University of Chinese Academy of Sciences, Beijing 100039, China)

Abstract: In view of the characteristic of BPL long-wave impulse signals, the MUSIC(multiple signal classification) algorithm is used to estimate the time delays of sky-wave and ground-wave and distinguish between them. The simulations are made with the IFFT algorithm, a traditional spectral estimation technique, and the MUSIC algorithm, a modern spectral estimation technique, respectively. The comparisons show that both IFFT algorithm and MUSIC algorithm can be used for distinguishing the sky-wave and ground-wave from each other in low SNR and the distinguishing errors are all within±5 μs but the precision and distinguishability for MUSIC algorithm are better than those for IFFT algorithm.

Key words: BPL Long-wave signal; distinguishing between sky-wave and ground-wave; MUSIC algorithm