Pilot Allocation for Distributed-Compressed-Sensing-Based Sparse Channel Estimation in MIMO-OFDM Systems
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Pilot Allocation for Distributed-Compressed-Sensing-Based Sparse
Channel Estimation in MIMO-OFDM Systems
Abstract— the sparse channel estimation problem in multiple-input–multiple-output orthogonal frequencydivision multiplexing (MIMO-OFDM) systems from the perspective of distributed compressed sensing (DCS). It is focused on deterministic pilot allocation of MIMO-OFDM systems to improve the performance of DCS-based channel estimation. By transforming the problem of DCS-based channel estimation to a problem of reconstructing block-sparse signals, a class of mutual coherence-related criteria is first proposed for optimizing pilot locations. By employing the proposed criteria, a genetic algorithm (GA)-based method of optimizing the pilot locations is then presented.< final year projects >
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