FSO MIMO系统中迭代译码算法的研究

Iterative decoding algorithm in FSO MIMO communication system

自由空间光通信(FSO)系统是一种新型的宽带接入系统,结合了光纤通信与微波通信的优点。但是FSO系统容易受到环境和天气状态的影响,把多输入多输出(MIMO)技术应用于FSO系统中可以有效改善大气对激光波束的影响,提高系统性能。文中主要研究了FSO-MIMO系统的空时译码问题,结合传统的一些译码算法,把Turbo码的迭代译码思想应用于FSO MIMO的空时译码中,分析了一种基于马尔科夫链蒙特卡洛(MCMC)算法的迭代译码方法。

Free-space optical communication （FSO） system is a new type of broadband access systems, optical fiber Communication can solve the bottleneck problem with the microwave communications, combines the advantages of optical communications and microwave communications, the FSO systems are vulnerable to the impact of environmental and weather conditions, the Multiple Input Multiple Output （MIMO） technology in FSO systems can effectively improve the atmospheric effects of the laser beam to improve the system performance. In this paper, space-time decoding problem of FSO-MIMO system was mainly studied. Combined with some of the traditional decoding algorithms, the iterative decoding Turbo codes were used in FSO MIMO idea of space-time decoding, the analysis based on Markov chain Monte Carlo （MCMC） algorithm for iterative decoding methods was also made.