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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。
Channel estimation refers to the method and process for the receiver to acquire the channel state information. Channel estimation accuracy determines the performance of the receiver, so before the equalization, you must first channel estimation. At present, laser optical transmission channel estimation becomes the key technology of free-space optical communication system with multiple-input and multiple-output orthogonal frequency division multiplexing. As a kind of effective method of channel estimation, the traditional compression sensing method has the ability of recovering and reconstructing the original signal, but it has to pay a certain amount of computational complexity. The fast Bayesian matching pursuit algorithm overcomes the disadvantages of the existing methods such as low reconstruction accuracy and high complexity. The fast Bayesian matching pursuit algorithm provides an efficient way to estimate the channel impulse response by estimating the parameter vector of the least mean square error of prior model selection and approximation. The simulation results show that this method can significantly improve the system performance compared with the traditional compression-aware method.