To reduce the pilot overhead in massive MIMO systems, sparse channel estimation exploring the joint channel sparsity is first proposed.
Sep 19, 2024 · To reduce the pilot overhead in massive MIMO systems , sparse channel estimation exploring the joint channel sparsity is first proposed, where ...
In this paper, we have investigated the sparse channel estimation based on CS for massive MIMO systems. We have proposed a system model for sparse channel ...
In this paper, we have investigated the sparse channel estimation based on CS for massive MIMO systems. We have proposed a system model for sparse channel ...
The channel estimation algorithm based on compressed sensing can make full use of the sparsity of the channel and realize channel estimation with fewer pilots.
May 27, 2019 · This paper proposes a nonorthogonal pilot design and a CS based algorithm SUCoSaMP to estimate the massive MIMO channels.
A sparse channel estimation algorithm with low complexity is proposed based on the inherent sparsity of wireless communication channel.
The channel estimation algorithm based on compressed sensing can make full use of the sparsity of the channel and realize channel estimation with fewer pilots.
Massive MIMO Channel Estimation Based on Compressed Sensing
www.semanticscholar.org › paper › Mass...
Wavelet denoising is combined with a sparse channel estimation algorithm based on Orthogonal Matching Pursuit, and Cramer-Rao Lower Bound is derived, ...
In massive MIMO-OFDM systems, channel estimation is a significant module which can be utilized to eliminate multipath interference.