DVB-T中非自适应和自适应信道估计算法的实现

信道估计的精确性对整个DVB-T接收系统的性能提高至关重要.在现有信道估计的算法中,线性估计和多项式估计不适用于环境恶劣的信道;FFT和IFFT估计实现代价太大;盲反卷积估计需要预先知道信道的统计参数,而信道统计参数的获得需要额外的代价;经典Wiener估计不仅需要获得信道的统计参数,而且需要对矩阵进行求逆,这就大大增加了算法的计算量.本文提出了两种信道估计的算法--二维FIR信道估计和二维自适应Wiener信道估计,这两种方法不需要预先知道信道的统计参数信息,不仅减少了运算复杂性,而且在实际中具有很好的性能.

The realization of the Non-adaptive and adaptive channel estimation algorithms in DVB-T

The precision of the Channel Estimator has a great impact on the performance of the DVB-T receiver. In current algorithms for channel estimation, linear estimation and polynomial estimation do not work well under poor channel conditions. The expenditure of the FFT and IFFT estimation is vast. The blind deconvolution estimation requires to get the statistical parameters of the channel, which greatly increases the computational amount. The classical Wiener estimation requires both the statistical parameters of the channel and calculation of the inverse matrix. This paper presents two algorithms, the two-dimensional FIR channel estimation and the two-dimensional adaptive Wiener channel estimation, both of which do not need the statistical parameters of the channel. The two algorithms not only reduce the computational complexity but also have a good performance in practice.