UPF算法在OFDM时变信道估计中的应用

Application of Unscented Particle Filtering Algorithm in OFDM Time-varying Channel Estimation

为了提高正交频分复用(OFDM)系统中时变信道估计的精度和系统性能,提出一种利用无迹粒子滤波(UPF)算法的OFDM时变信道估计方法。该方法首先将OFDM系统时变信道建模为具有动态特性的状态方程,然后利用UPF算法,结合接收信号动态地估计信道状态。仿真结果表明:在高斯和非高斯环境下,所提的方法均可以获得比采用传统粒子滤波(PF)算法的信道估计方法更高的估计精度和更好的系统性能,因此适用于实际系统。

In order to improve the estimation accuracy and system performance, a time - varying channel estimation method applied the unscented particle filter（ UPF） algorithm is proposed for OFDM wireless communication system. By modeling the time - varying channel for dynamic state equation, channel states are estimated dynamically from the received signals by using the UPF algorithm. Simulation results show that the proposed method can acquire higher estimation accuracy and better system performance than the method based on the traditional particle filter（ PF） algorithm under the Gaussian and non - Gaussian noise environment. Therefore it is applicable to the actual system.