基于非平稳时频分析的无线网络信道均衡算法

在无线网络数据通信中，由于阵元码间干扰导致信道具有非平稳特性，产生信道失衡效应，需要进行信道均衡设计，提高无线网络的数据传输性能.传统方法采用Hilbert变换扩频方法进行通信信道均衡，通过Hilbert变换使离散数据解析化，由于信道多径扩展导致码间干扰，为了提高信道均衡效果，提出一种基于非平稳时频分析的无线网络信道均衡算法.构建无线网络数据传输的空间多径信道模型，采用时频分析方法进行通信信号码间干扰抑制处理，采用提取的时频特征对通信信道进行正交频分复用分解，采用时频特征分析方法，对相位偏移进行空间码元重组，去掉路径相移偏量，实现信道均衡.仿真结果表明，采用该算法具有较好的信道均衡性能，能有效抑制通信信道的码间干扰，降低无线网络数据通信的误比特率，改善通信质量.

Wireless Network Channel Equalization Algorithm Based on Non-Stationary Time-Frequency Analysis

In the wireless data communication network, the array element inter-symbol interference cause the non-stationary characteristics of channels and it also has a channel imbalance effect, so a channel equalization design is required to improve the performance of data transmission of wireless network. Traditional methods use Hilbert transform spread-spectrum for communication channel equalization and discrete data analysis. Due to the expansion of multipath channel which causes inter-symbol interference, and in order to improve the performance of channel equalization, a wireless network channel equalization algorithm based on non-stationary time-frequency analysis is proposed. This algorithm proposes a space multipath channel model for wireless network data transmission and uses time-frequency analysis method to suppress the inter-symbol interference of signal communication. It also uses this extracted time-frequency characteristics for orthogonal frequency division multiplexing decomposition of communication channel. Through time-frequency characteristic analysis, the phase deviation of spatial symbol is reorganized and the path deviator of phase shift is removed to realize channel equalization. Simulation results show that this proposed algorithm has a good performance for channel equalization. It can effectively suppress the inter-symbol interference of communication channel and reduce the bit error rate of the wireless data communication network to improve the quality of the communication.