Joint Sparsity Pattern Learning Based Channel Estimation for Massive MIMO-OTFS Systems

arXiv:2403.03771v1 Announce Type: cross
Abstract: We propose a channel estimation scheme based on joint sparsity pattern learning (JSPL) for massive multi-input multi-output (MIMO) orthogonal time-frequency-space (OTFS) modulation aided systems. By exploiting the potential joint sparsity of the delay-Doppler-angle (DDA) domain channel, the channel estimation problem is transformed into a sparse recovery problem. To solve it, we first apply the spike and slab prior model to iteratively estimate the support set of the channel matrix, and a higher-accuracy parameter update rule …

abstract arxiv cs.lg delay domain eess.sp massive space sparsity systems type