基于权值构建数据导频的V2V信道估计算法

Channel estimation based on weighted construction of data pilot for V2V com⁃munication

针对IEEE 802.11p协议中导频数量不足无法准确跟踪车联网信道快速变化的问题,本文提出了一种基于时频域相关性构建数据导频、加权平滑重构判决策略的信道估计算法。该算法在不改变IEEE 802.11p协议标准导频结构的前提下,有效利用频域相邻子载波间以及时域相邻正交频分复用符号间的强相关性构建数据导频,引入权值因子对前后时刻信道估计值动态时域更新,结合频域平均重构数据导频构建算法的判决策略。仿真结果表明:在3种不同车-车(vehicle-to-vehicle,V2V)通信场景下,本文提出的算法在误码率和均方根误差方面优于时频平均、数据导频构建等算法。

A channel estimation algorithm based on time-frequency domain correlation to construct data pilots,weighted smoothing and reconstruction decision strategy is proposed in this paper to solve the problem of the in⁃sufficient number of pilots in the IEEE 802.11p protocol being unable to ensure the accurate tracking of the rap⁃id changes in a vehicle networking channel.Without changing the standard pilot structure of the IEEE 802.11p protocol,this algorithm can effectively use the strong correlation between adjacent subcarriers in the frequency domain and adjacent Orthogonal Frequency Division Multiplexing symbols in the time domain to construct the data pilot,and introduce the weight factor to update the channel estimation value in the time domain at the front and rear moments.The weight factor is introduced to dynamically update the channel estimation value in the time domain,and the decision strategy of the Construct Data Pilot algorithm is reconstructed by combining the frequency domain average.Simulation results revealed that the proposed algorithm was superior to other algo⁃rithms,such as the Spectral Temporal Averaging algorithm and the Construct Data Pilot algorithm,in terms of in terms of bit error rate and root mean square error in three different Vehicle-to-Vehicle communication scenarios.