基于快速贝叶斯匹配追踪的激光大气信道估计

信道估计是指接收机获知信道状态信息的方法和过程。信道估计的准确度决定了接收机的工作性能，所以均衡之前，必须先进行信道估计。目前，激光光学传输信道估计成为多输入多输出正交频分复用的自由空间光通信系统的关键技术。传统的压缩感知方法作为一种信道估计的有效方法，具有恢复和重构原始信号的能力，但在计算复杂度上付出了一定的代价。快速贝叶斯匹配追踪算法克服了现有方法重构精度低和复杂度高缺点。通过先验模型选择和近似的最小均方误差的参数向量的估计，快速贝叶斯匹配追踪算法提供了估计信道冲激响应的一种有效方式。仿真结果表明，与传统的基于压缩感知的方法相比，该方法能显著提高系统的性能。

Laser atmospheric channel estimation based on fast Bayesian matching pursuit

Channel estimation refers to the method and process of receiving channel state information.The accuracy of channel estimation determines the performance of the receiver, so channel estimation must be carried out before equalization.Nowadays, the laser channel estimation for optics transmission becomes a key technology in free space optical communication in multiple-input multiple-output orthogonal frequency division multiplexing(FSO-MIMO-OFDM) system. Although the traditional method of compression sensing, as an effective method for channel estimation, has the ability to recover and reconstruct the original signal, it has paid a certain cost in computational complexity. A novel fast Bayesian matching pursuit(FBMP) algorithm was proposed to overcome the low reconstruction precision and high complexity of the existing methods. Through the prior model selection and approximate minimum mean squared error(MMSE) estimation of the parameter vector, the FBMP algorithm provided an efficient way to estimate the channel impulse response and was characterized by high reconstruction accuracy and low complexity. Simulation results show that the proposed method can significantly improve the performance of the system compared with the traditional compressed sensing(CS).