基于最小均方差的无线通信信道估计算法仿真

Simulation of Wireless Communication Channel Estimation Algorithm Based on Minimum Mean Square Error

无线通信信道中导频噪声过大会影响信道的估计效果,降低通信质量,为此提出导频干扰下无线通信信道估计算法。基于无线通信的信道特性分析结果获取信道中的导频噪声信号,并对其实施噪声滤除处理;依据噪声滤除结果获取无线通信网络的频率冲击响应值,建立导频频域接收信号模型;利用基于最小均方差的信道估计方法对模型求解得出信道频域冲击响应估计值;将计算结果与线性插值方法结合,完成无线通信信道精准估计。实验结果表明,使用上述方法开展信道估计时,误码率较低,信道幅度响应值与实际信道幅值较为接近,说明信道估计效果较好。

The excessive pilot noise in the wireless communication channel will affect the estimation effect of the channel and reduce the communication quality.Therefore,an algorithm for estimating wireless communication channels under pilot interference was proposed.Based on the analysis of channel characteristics of wireless communication,the pilot noise signal in the channel was obtained and filtered.And then,the frequency impulse response value of the wireless communication network was obtained.Moreover,a model for receiving pilot-domain signals was built.Furthermore,the channel estimation method based on minimum mean square eror was adopted to solve the model and thus to obtain the estimated value of the frequency-domain impulse response.Finally,the calculation result was combined with the linear interpolation method to complete the accurate estimation of wireless communication channels.Experimental results prove that the proposed method has a lower bit error rate in channel estimation.And the response value of channel amplitude is relatively close to the actual channel amplitude,indicating that the channel estimation is good.