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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。
Combined with the CS theory, a new method is proposed for channel estimation based on sparse features of OFDM system. Compressible Sampling Matching Pursuit (CoSaMP) algorithm, which is essentially a greedy algorithm, uses relatively few Of the pilot to obtain better channel estimation performance, improve spectral resource utilization, while computing faster. The algorithm principle and steps of CoSaMP are introduced in detail, and the performance of CoSaMP algorithm is compared and analyzed with orthogonal matching pursuit algorithm (OMP) and matching pursuit algorithm (MP). Through theoretical analysis and experimental simulation, the validity of CoSaMP algorithm is proved.