In this study, the problem of Stokes parameters and direction-of-arrival estimation of polarised sources is addressed based on the block-sparsity reconstruction, in case of an unknown number of sources. Since Stokes p...
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In this study, the problem of Stokes parameters and direction-of-arrival estimation of polarised sources is addressed based on the block-sparsity reconstruction, in case of an unknown number of sources. Since Stokes parameters have four components, the block-sparsity model of polarised sources is introduced by employing the difference coarray of the coprime array with cross-dipole sensors. In case of an unknown number of sources, a novel estimate approach is proposed by combining the block orthogonal matching pursuit (bomp) algorithm with the deterministic maximum likelihood (DML). In the proposed approach, the DML test step and refining grid step are added in each iteration of bomp to identify the number of sources and to reduce the estimation error incurred by the grid mismatch. This approach has low computational complexity and is suitable for both the completely polarised and partially polarised sources. Simulations are used to verify the performance of the proposed approach.
Intelligent terminals often produce a large number of data packets of small lengths. For these packets, it is inefficient to follow the conventional medium access control (MAC) protocols because they lead to poor util...
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ISBN:
(纸本)9781479941452
Intelligent terminals often produce a large number of data packets of small lengths. For these packets, it is inefficient to follow the conventional medium access control (MAC) protocols because they lead to poor utilization of service resources. We propose a novel multiple access scheme that targets massive multiple-input multiple-output (MIMO) systems based on compressive sensing (CS). We employ block precoding in the time domain to enable the simultaneous transmissions of many users, which could be even more than the number of receive antennas at the base station. We develop a block-sparse system model and adopt the block orthogonal matching pursuit (bomp) algorithm to recover the transmitted signals. Conditions for data recovery guarantees are identified and numerical results demonstrate that our scheme is efficient for uplink small packet transmission.
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