一种多点协作压缩感矢卩信道估计伪随机导频图案生成算法

为了减少集中式/协作式/云计算无线接入网(centralized,cooperative,cloud radio access network,C-RAN)平台多点协作通信的信道估计中插入导频的数量,引入了压缩感知技术,进而提出一种伪随机导频图案生成算法,生成一种导频图案设计方案.由该算法生成的导频图案能满足压缩感知的观测矩阵条件,可以使得收发两端能同步计算出导频位置信息,克服了传统压缩感知信道估计因采用随机导频图案使得接收端很难确定导频的插入位置信息,进而很难分离导频与数据的问题.此外,该算法还能根据实际硬件条件,在性能与计算时间上进行权衡.通过在数字信号处理(digital signal process,DSP)芯片上进行硬件验证和Matlab软件上进行仿真验证,仿真结果表明,在C-RAN平台的多点协作通信的信道估计中,提出的方案具有较好的性能.

Generation algorithm of pseudorandom pilot pattern for multipoint cooperative compressive sensing channel estimation

To reduce the number of pilot insertion the technology of compressive sensing (CS) is introduced to channel estimation of multi - point cooperative communication on C-RAN platform, and then the design of pilot pattern is proposed. The scheme is generated by pseudo-random pilot pattern algorithm. The algorithm can not only meet the observation matrix requirement of compressed sensing, but calculate pilot position information synchronous in sender and receiver, overcome the traditional compressed sensing channel estimation by random pilot pattern so makes receiver difficult to define pilot''s insert position information and has difficulty in separating pilot and data. Taking actual hardware conditions into account, the program can balance between performance and computation time. Then it can be verified by simulation software and hardware. The simulation shows that the program makes better performance in multi-cooperation channel estimation on C-RAN platform.