论文部分内容阅读
针对多入多出(MIMO)无线光通信(FSO)中传统的奇异值分解(SVD)信道估计算法由于训练序列的单极性容易导致信号能量损失,从而引起信道估计值不准确的问题,提出了一种修正的自适应SVD估计算法。该修正算法能对SVD算法中存在的估计误差进行补偿,从而能使该估计方法更好地应用于MIMO-FSO系统中。仿真结果表明,与SVD算法相比,在信噪比为15dB时,修正的算法有2个数量级的均方误差(MSE)性能提高,在信噪比为30dB时,MSE性能有3个数量级的提高。与相同条件下的均值修正SVD算法相比,平均有1dB左右的性能改善。该修正方法可移植性强,在其他信道估计方法中也可采用类似的改进方法。
Aiming at the problem of traditional SVD channel estimation algorithm in MIMO wireless optical communication (FSO), the channel estimation value is inaccurate due to the energy loss of the signal due to the unipolarity of the training sequence. A Modified Adaptive SVD Estimation Algorithm. The modified algorithm can compensate the estimation error existing in the SVD algorithm, so that the estimation method can be better applied to the MIMO-FSO system. The simulation results show that compared with the SVD algorithm, the performance of the modified algorithm has two orders of magnitude mean square error (MSE) improvement at SNR 15dB. When the SNR is 30dB, the MSE performance is three orders of magnitude improve. Compared with the mean value modified SVD algorithm under the same conditions, the performance is improved by about 1 dB on average. The correction method is highly portable and a similar improvement can be applied to other channel estimation methods.