Abstract
In this paper, channel estimation for Millimeter Wave (mmWave) Multiple Input Multiple Output (MIMO) communication system is presented. In the frequency domain, the Sparse Bayesian Learning-based Kalman Filter (SBL-KF) scheme is developed to estimate the sparse channel vector of hybrid mmWave MIMO architecture. The mmWave MIMO hybrid architecture provides reduced power loss and achievable data rates at mmWave frequencies. Frequency-selective channels are sparse at mmWave frequencies. The recovery of the sparse channel is estimated using different channel estimation methods. The hybrid precoding technique achieves both multiplexing gain and array gain in mmWave channels. Simulation results of the proposed SBL-KF scheme show low estimation error over the existing Orthogonal Matching Pursuit, Simultaneous Orthogonal Matching Pursuit, Simultaneous Weighted Orthogonal Matching Pursuit algorithm and SBL scheme. The complexity of the online estimation SBL-KF algorithm is low and it is ideally suited for implementation in an efficient mmWave MIMO system.
Additional information
Notes on contributors
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K. Shoukath Ali
K Shoukath Ali received a bachelor’s degree in electronics and communication engineering from Anna University Chennai, Tamilnadu, India, in 2009, and the master’s degree in communication systems, Anna University. He completed his PhD under Anna University Chennai in 2019 and working as assistant professor in ECE Department at Bannari Amman Institute of Technology. His main research interests include wireless communication, millimeter wave communication and 5G communication. Corresponding author Email: [email protected]
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P. Sampath
P Sampath completed BE in electronics and communication engineering from Vinayaka Missions Kirupananda Variyar Engineering College, Salem (Madras University), in the year 1998. He completed ME in communication systems from Government College of Technology, Coimbatore (Anna University) in the year 2005. He completed his PhD under Anna University Chennai in 2011 and now working as professor in ECE Department at Bannari Amman Institute of Technology. His main research interests include VLSI design and RF circuit design. Email: [email protected]