论文部分内容阅读
分布式多输入多输出(MIMO)技术是抑制空间光通信中大气湍流效应和降低误包率的有效手段之一。文章首先介绍MIMO光通信系统的信道模型,采用Kalman滤波器对接收信号均值和方差进行自适应估计和预测。然后提出了空间光通信中分布式检测算法,并推导了全局误码率的迭代公式。仿真结果表明:与等增益似然检测算法相比,分布式检测算法在低信噪比时,有较优的误码性能,抗干扰性能强。随信噪比的增加,分布式检测算法的误码率达到一个稳态值。
Distributed multiple-input multiple-output (MIMO) technology is one of the effective measures to suppress the atmospheric turbulence effect and reduce the packet error rate in space optical communications. The article first introduces the channel model of MIMO optical communication system, and uses Kalman filter to adaptively estimate and predict the mean and variance of the received signal. Then, a distributed detection algorithm in space optical communication is proposed, and an iterative formula of global bit error rate is deduced. Simulation results show that compared with equal-gain likelihood detection algorithm, the distributed detection algorithm has better error performance at low signal-to-noise ratio and strong anti-jamming performance. With the increase of signal to noise ratio, the BER of distributed detection algorithm reaches a steady state value.