摘要
针对提高系统传输的频谱利用率问题,采用将压缩感知理论应用于双向中继系统进行信道估计。详细研究在双向中继系统中信道估计算法的设计方法、实现过程,并对广义正交匹配追踪算法(GOMP)与OMP算法及传统的LS信道估计算法进行分析与比较。结果表明GOMP信道估计算法在均方误差(MSE)和误比特率(BER)及需要运行的时间上均较小。在稀疏的信道中,GOMP算法相比于传统LS信道估计算法能有效地提高频谱利用率,相比于OMP算法提高了实时性,降低系统的复杂度。
In order to improve the spectrum efficiency of the system,the compressed sensing theory is applied to the two-way relay system to estimate the channel. The design method and implementation process of the algorithm are studied on in detail,and the GOMP algorithm is compared with the OMP algorithm and the traditional LS channel estimation algorithm. The simulation results confirm that GOMP channel estimation algorithm has a small mean square error( MSE) performance and bit error rate( BER) and time required to run. For sparse channel,the GOMP algorithm can improve the spectrum utilization efficiency compared with the traditional LS channel estimation algorithm,and improve the realtime performance and reduce the complexity of the system compared with the OMP algorithm.
出处
《信息技术》
2018年第2期145-148,共4页
Information Technology
关键词
压缩感知
双向中继系统
GOMP算法
信号重构
信道估计
compressive sensing(CS)
two-way relay system
GOMP algorithm
signal reconstruction
channel estimation
