Big congratulation! One paper titled ' Non-data-aided ML SNR Estimation for AWGN Channels with Deterministic Interference” in SCI journals' by Yabin Kang(graduate student)as main contributoris accepted for publication in EURASIP Journal on Wireless Communications and Networking”(SCI,IF: 0.54 in 2013).
Appendix:Abstracts of the paper
Communication channels not only suffer from ambient noise, but also from deterministic interference. In this paper we consider signal-to-noise (SNR) estimation in the presence of constant deterministic interference. A maximum-likelihood (ML) non-data-aided algorithm is proposed for SNR estimation. We first consider a realvalued model and then extend to complex-valued model. The proposed algorithm applies an iterative approach initialized with approximate closed-form estimates so as to guarantee stability and convergence. Furthermore, the Cramer-Rao bound (CRB) is also derived as the theoretical limit of the jitter variance. Computer simulations based on PAM and QAM sources show that the performance of the proposed algorithm is close to the CRB. | 
