The document presents a structured compression sensing method for massive MIMO-OFDM systems called Priori information-assisted adaptive structured subspace pursuit (PA-ASSP) algorithm. PA-ASSP aims to improve channel estimation accuracy with reduced complexity compared to existing algorithms like adaptive structured subspace pursuit (ASSP). It initializes channel estimation using prior information and exploits common sparsity of MIMO channels across OFDM symbols. Simulation results show PA-ASSP achieves better bit error rate and normalized mean square error performance than ASSP and other algorithms under different SNR levels.