摘要
结合压缩感知(CS)理论,针对OFDM系统信道稀疏的特性,采用一种新的方法进行信道估计——可压缩采样的匹配追踪算法(CoSaMP),它本质上是一种贪婪算法,利用比较少的导频获得较好的信道估计性能,提高频谱资源利用率的同时,运算速度更快。详细地介绍了CoSaMP的算法原理及步骤,并将它与正交匹配追踪算法(OMP)和匹配追踪算法(MP)的性能进行了比较和分析。通过理论分析和实验仿真,证明了CoSaMP算法的有效性。
In combination of CS（compressed sensing） theory and for the sparseness of OFDM channel,a new channel estimation algorithm known as CoSaMP（compressible samples matching pursuit）,is proposed,and this algorithm,in essence,is a greedy algorithm,and with fairly few pilots,could acquire better channel estimation performance,raise the spectral resource utilization and accelerate the computing speed.Principles and procedures of CoSaMP are described in detail,and comparisons of CoSaMP with orthogonal matching pursuit（OMP） and matching pursuit（MP） also made and given.Theoretical analysis and experimental simulation indicate that the CoSaMP algorithm is feasible and effective.
出处
《通信技术》
2012年第3期13-15,共3页
Communications Technology
