Doppler-shift estimation of flat underwater channel using data-aided least-square approach

• Main Authors: Weiqiang Pan, Ping Liu, Fangjiong Chen, Fei Ji, Jing Feng
• Format: Article
• Language: English
• Published: Elsevier 2015-03-01
• Series: International Journal of Naval Architecture and Ocean Engineering
• Subjects: Underwater acoustic communication; Doppler estimation; Least Square; Cramer-Rao Lower bound
• Online Access: http://www.sciencedirect.com/science/article/pii/S2092678216300905

In this paper we proposed a dada-aided Doppler estimation method for underwater acoustic communication. The training sequence is non-dedicate, hence it can be designed for Doppler estimation as well as channel equalization. We assume the channel has been equalized and consider only flat-fading channel. First, based on the training symbols the theoretical received sequence is composed. Next the least square principle is applied to build the objective function, which minimizes the error between the composed and the actual received signal. Then an iterative approach is applied to solve the least square problem. The proposed approach involves an outer loop and inner loop, which resolve the channel gain and Doppler coefficient, respectively. The theoretical performance bound, i.e. the Cramer-Rao Lower Bound (CRLB) of estimation is also derived. Computer simulations results show that the proposed algorithm achieves the CRLB in medium to high SNR cases.