一种低开销的LTE上行链路信道估计算法  

Low-overhead Channel Estimation Algorithm for LTE Uplink

作　　者：刘北佳 李伟[1] 宗华[1] 滕光耀 

机构地区：[1]哈尔滨工业大学电子与信息工程学院,黑龙江哈尔滨150001 [2]北京机电工程研究所,北京100074

出　　处：《电视技术》2014年第13期130-134,共5页Video Engineering

基　　金：国家自然科学基金项目(61201014)

摘　　要：压缩感知理论作为信号处理方向较为前沿的研究方向,可以采用少数目的采样值以高概率来获得原始稀疏信号。同时,移动无线通信衰落信道恰恰具有稀疏特性。然而,传统的信道估计并没有根据信道的这一稀疏特性来得出算法。在研究多径信道稀疏特性的基础上,分析了将压缩感知理论运用于LTE上行链路进行信道估计的可行性,并建立了一种基于压缩感知技术实现系统信道估计的模型,提出了一种结合正交匹配追踪算法来估计信道时域响应的低开销LTE上行链路信道估计算法。此外,通过系统仿真进行了估计的均方误差性能分析,与目前广为使用的信道估计算法相比,所提出的低开销信道估计算法在保证估计精度的同时减少了导频开销,增强了系统性能。As the latest research achievement in signal processing field, compress sensing theory implemented reconstruction sparse signal by a little sampled values at a high probability. In the same breath, radio communication fading channel has the characteristic of sparsity. However, the traditional channel estimation algorithms do not take full advantage of it. This thesis makes attempt at applying compress sensing theory into channel estimation for LTE uplink system. While its feasibility is proved by theory, the effectiveness is confirmed by system simulation. A channel estimation scheme based on compress sensing is proposed, and an algorithm with orthogonal matching pursuit for getting channel time domain impulse is presented. Compared with the classical channel estimation algorithm, the proposed estimation method with low-overhead has huge advantages of less pilot numbers, much better bandwidth efficiency under the premise of the same estimated accuracy by simulation.

关 键 词：LTE上行链路 信道估计 压缩感知 稀疏信道 正交匹配追踪 

分 类 号：TN911.23[电子电信—通信与信息系统]