AF-TWRN场景下基于OMP和CoSaMP信道估计的性能比较

Y. Gaur, Vijay Kumar Chakka
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引用次数: 5

摘要

提出了一种基于压缩感知(CS)的放大前向双向中继网络(AF-TWRN)稀疏多径信道估计方法,即压缩采样匹配追踪(CoSaMP)。绘制了基于估计信道的CoSaMP和OMP方法的MSE性能和相应的基于BPSK的系统误码率性能。当信道的稀疏性/最坏情况稀疏性已知时,基于CoSaMP的信道估计的性能与基于OMP的信道估计相似,在系统的MSE和BER度量中具有更低的时间复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Comparison of OMP and CoSaMP Based Channel Estimation in AF-TWRN Scenario
We propose a new way to estimate the sparse multipath channel of an Amplify and Forward Two Way Relay Network (AF-TWRN) based on Compressive Sensing (CS), using Compressive Sampling Matching Pursuit (CoSaMP). MSE based performance of CoSaMP and OMP methods and corresponding BPSK based BER performance of the system using the estimated channels are plotted. CoSaMP based channel estimation is performing similar to OMP based channel estimation, with lesser time complexity, in both MSE and BER measures of the system, when the sparsity/worst case sparsity of the channel is known.
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