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为了降低算法的复杂度,提高现有MIMO-OFDM系统信道估计算法的性能,首先给出了一种信道模型,并在此信道模型的基础上提出了一种改进型基于子空间方法的盲信道估计算法。该算法基于子空间分解技术,利用信号子空间和噪声子空间的正交性将两者分离,通过补零内插技术得到其他子载波位置的信道估计结果,在估计过程中并不需要任何信道统计信息。仿真结果表明:该算法具有收敛速度快,估计精度高等优点。
In order to reduce the complexity of the algorithm and improve the performance of the existing MIMO-OFDM system channel estimation algorithm, a channel model is given first. Based on the channel model, an improved blind channel based on subspace method Estimation algorithm. Based on the subspace decomposition technique, the algorithm separates the two by using the orthogonality between the signal subspace and the noise subspace, and obtains the channel estimation results of other subcarrier positions by the zero-padding interpolation technique. The channel estimation is not required in the estimation process Statistics. Simulation results show that the proposed algorithm has the advantages of fast convergence rate and high estimation accuracy.