A new approach for joint parameter estimation of multiple phase-varying periodic signals in white Gaussian noise
Kuniaki Yano, Yukihiro Kamiya · 2016
This paper proposes a new approach for the parameter estimation of the randomly-phase varying multiple periodic signals. The phase-varying multiple signal is often observed in digital communication signals. The proposed method enables us to blindly and jointly estimate the period, the number of sources (NOS) and the fundamental waveform, for each of the multiple signals. The performance is verified through computer simulations.