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针对正交频分多路复用(OFDM)系统,比较了基于压缩感知的不同导频设计方案及相应信道估计性能.基于信道响应的时域稀疏和缓变特征,提出了基于联合稀疏模型的压缩感知信道估计方法,进一步提高了信道估计的性能.该方法将连续若干个OFDM符号的信道估计问题转化为联合稀疏模型下的压缩感知问题,充分利用信道的稀疏特性和时间相关性进行信道估计.结合短波OFDM系统,比较了几种信道估计方法的性能.仿真结果表明,与传统的最小平方误差信道估计方法和逐符号的压缩感知信道估计方法相比,基于联合稀疏特征的信道估计方法可进一步改善估计性能,对时变信道具有更好的适应性.
Aiming at Orthogonal Frequency Division Multiplexing (OFDM) system, different pilot schemes based on compressed sensing and corresponding channel estimation performance are compared.Based on the sparse and slow time-varying characteristics of channel response, a new compression scheme based on joint sparsity Perceptual channel estimation method to further improve the performance of channel estimation.The method transforms the channel estimation of several consecutive OFDM symbols into the compression sensing problem under the joint sparse model and makes full use of the channel sparseness and time correlation for channel estimation. Combined with the short-wave OFDM system, the performance of several channel estimation methods is compared.The simulation results show that the channel estimation method based on the joint sparse feature can be further compared with the traditional least square error channel estimation method and per-symbol compressed perceptual channel estimation method Improve estimation performance, and have better adaptability to time-varying channel.