摘要
针对下一代广播电视网无线系统(NGB-W)广播接收信道估计,提出了一种基于二次一维维纳滤波的信道估计实用算法。该算法实时估计信道多普勒频偏、时延扩展和噪声方差等参数,并根据参数估计值分别从离线获得的预选集中选择时域和频域的一维维纳滤波系数。通过Cocentric System Studio(CCSS)平台仿真,给出了参数估计对算法性能的影响,以及所提信道估计算法的均方误差和误块率性能。仿真结果表明该算法在不同移动速度下,与采用理想插值系数信道估计相比性能损失不超过0.4dB,与理想信道估计相比性能损失在1dB以内。
The channel estimation in the next generation broadcast wireless(NGB-W) system is studied, and a channel estimation practical algorithm based on 2 ×I_D Wiener filter is proposed. The proposed algorithm estimates channel doper frequency, delay expansion and noise variance in real-time, and chooses 1D Wiener filter coefficients from the pre selected set which is calculated off-line according to channel parameter estimated values. From the Cocentric System Studio(CCSS) simulation results, the influ- ence of the parameters estimation to the channel estimation algorithm is got. Furthermore, the mean square error and block error rate of the channel estimation algorithm are got. Simulation results show that the proposed algorithm losses performance in 0.4 dB compare to channel estimation which use ideal wiener filter coefficients and losses performance in 1 dB compare to ideal channel es- timation.
出处
《电视技术》
北大核心
2016年第10期131-136,共6页
Video Engineering
基金
上海市科委项目(145111011305)
中科院先导科技专项(XDA06010300)
关键词
信道估计
维纳滤波
下一代无线广播网
参数估计
channel estimation
Wiener filter
Next Generation Broadcast-Wireless (NGB-W)
parameter estimation