Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (4): 696-702.doi: 10.21629/JSEE.2019.04.07

• Electronics Technology • Previous Articles     Next Articles

TDOA estimation of dual-satellites interference localization based on blind separation

Ting SU*(), Yong GAO()   

  • Received:2017-12-28 Online:2019-08-01 Published:2019-09-01
  • Contact: Ting SU;
  • About author:SU Ting was born in 1992. She is a master in Sichuan University. Her research areas mainly include satellite communications and blind signal processing.|GAO Yong was born in 1969. He is a Ph.D. and a professor in Sichuan University. His research areas mainly include speech signal processing, anti-interference and anti-interception technology in communication, array signal processing, and blind analysis of signal and emergency communication.
  • Supported by:
    the Fundamental Research Funds for the Central Universities(2082604194194);This work was supported by the Fundamental Research Funds for the Central Universities (2082604194194)


The time difference of arrival (TDOA) estimation plays a crucial role in the accurate localization of the satellite interference source. In the dual-satellites interference source localization system, the target signal from the adjacent satellite is likely to be interfered by the normal communication signal with the same frequency. Therefore, the signal to noise ratio (SNR) of the target signal would become too low, and the TDOA estimation through cross-correlation processing would be unreliable or even unattainable. This paper proposes a technique based on blind separation to solve the co-channel interference problem, where separation of the mixed signal can be carried out by the particle filter (PF) algorithm. The experimental results show that the proposed method could achieve more accurate TDOA estimation. The measured data obtained by using the software radio platform at 915 MHz and 2 GHz respectively verify the effectiveness of the proposed method.

Key words: time difference of arrival (TDOA), co-channel interference, blind separation, particle filter (PF)