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为了提高正交小波包波分复用(OWPDM)系统抗多径衰落和多普勒频移的性能,提出了一种新的半盲信道估计算法。首先利用时域滤波原理滤去信道响应中的噪声,之后利用信号在时域补零相当于频域内插的原理来获得更精确的最小均方算法(LMS)估计器迭代初值。仿真结果表明,在插入更少导频数目的情况下,新算法估计性能优于最小二乘(LS)信道估计算法,在插入相同数目导频的情况下,与传统的LMS信道估计算法相比,新算法能使系统获得更好的误码性能。
In order to improve Orthogonal Wavelet Packet Wavelength Division Multiplexing (OWPDM) system anti-multipath fading and Doppler shift performance, a new semi-blind channel estimation algorithm is proposed. Firstly, the noise in the channel response is filtered by using the time-domain filtering principle, and then the more accurate iterative initial value of the LMS estimator is obtained by applying the principle that the signal is equivalent to the frequency domain interpolation in the time domain. The simulation results show that the performance of the new algorithm is better than the least squares (LS) channel estimation algorithm when the number of pilots inserted is less. Compared with the traditional LMS channel estimation algorithm, The new algorithm can make the system get better BER performance.