A Blind Receiver with Multiple Antennas in Impulsive Noise Modeled as the Sub-Gaussian Distribution via the MCMC Algorithm

作者：Ying, Wenwei^*; Jiang, Yuzhong; Liu, Yueliang; Li, Puxuan

来源：IEEE Transactions on Vehicular Technology, 2013, 62(7): 3492-3497.

DOI：10.1109/TVT.2013.2250535

• Impulsive noise
• Markov chain Monte Carlo (MCMC) algorithm
• mixture model
• symmetric alpha-stable (SaS) distribution

Receivers with an antenna array based on the assumption of Gaussian noise have experienced poor performance in extremely low-frequency/very-low-frequency (ELF/VLF) communication systems, in which the noise is highly impulsive. In this paper, a blind receiver with multiple antennas for channels with impulsive noise is developed to estimate signal and channel parameters jointly by using the Markov chain Monte Carlo (MCMC) algorithm. The impulsive noise is modeled as the sub-Gaussian distribution, which is widely applied. Simulation results show that the blind receiver can rapidly converge, and excellent performance can be achieved.

• 出版日期2013-9
• 单位中国人民解放军海军工程大学