MIMO-OFDM系统中基于RAMP及其改进的稀疏信道估计算法
发布时间：2019-01-19 16:39
【摘要】：研究了在MIMO-OFDM系统中的稀疏信道估计问题.将正则化稀疏度自适应匹配追踪算法(RAMP)运用到MIMO-OFDM稀疏信道估计中,并对该算法的迭代结束条件加以改进,取残差的能量之差小于设定的阈值来终止迭代过程,更加准确地估计出信道稀疏度,进而提高了稀疏信道的估计精度.仿真结果表明,在MIMO-OFDM系统中,相比RAMP算法与稀疏度自适应匹配追踪算法(SAMP),改进算法能够获得更好的MSE性能,在不需要稀疏度的前提下达到了与正交匹配追踪算法(OMP)算法相似的MSE性能.
[Abstract]:The problem of sparse channel estimation in MIMO-OFDM systems is studied. The regularized sparsity adaptive matching tracking algorithm (RAMP) is applied to the MIMO-OFDM sparse channel estimation, and the iterative end condition of the algorithm is improved. The difference of the residual energy is less than the set threshold to terminate the iterative process. The channel sparsity is estimated more accurately, and the estimation accuracy of sparse channel is improved. The simulation results show that compared with the RAMP algorithm and the sparse adaptive matching tracking algorithm (SAMP), the improved MSE algorithm can achieve better MSE performance in MIMO-OFDM system. The performance of MSE is similar to that of the orthogonal matching tracking algorithm (OMP) without the need of sparsity.
【作者单位】： 北京理工大学信息与电子学院;
【分类号】：TN919.3
[Abstract]:The problem of sparse channel estimation in MIMO-OFDM systems is studied. The regularized sparsity adaptive matching tracking algorithm (RAMP) is applied to the MIMO-OFDM sparse channel estimation, and the iterative end condition of the algorithm is improved. The difference of the residual energy is less than the set threshold to terminate the iterative process. The channel sparsity is estimated more accurately, and the estimation accuracy of sparse channel is improved. The simulation results show that compared with the RAMP algorithm and the sparse adaptive matching tracking algorithm (SAMP), the improved MSE algorithm can achieve better MSE performance in MIMO-OFDM system. The performance of MSE is similar to that of the orthogonal matching tracking algorithm (OMP) without the need of sparsity.
【作者单位】： 北京理工大学信息与电子学院;
【分类号】：TN919.3
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