Download (1MB).pdf

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🔗 Source: open-access.bcu.ac.uk
📊 Size: 1.09 MB
📄 Pages: 29 pages
⬇️ Downloads: 48

Summary

Recent advances in MIMO systems have led to a renewed interest in exploring this area for addressing dynamic challenges in emerging radio communication networks. Sparse multipath MIMO channels exhibit a sparse impulse response structure in various outdoor radio propagation environments. A comprehensive physical description of sparse multipath MIMO channels is presented. Three superimposed training sequence-based channel estimation techniques are proposed, exploiting compressed sensing theory and prior knowledge of channel sparsity. The techniques, named SiT-CCS, SiT-ThCCS, and SiT-MP, are compared to a notable SiT-LS estimation technique, showing improvements of up to 2 dB, 3.5 dB, and 5.2 dB in MSE at SNR of 12 dB. The proposed techniques also offer gains of about 1 dB, 2.5 dB, and 3.5 dB in SNR for BER = 10−1.9.

Description

Recent advances in MIMO systems have led to a renewed interest in exploring this area for addressing dynamic challenges in emerging radio communication...

Technical Information

  • File Format: PDF
  • File Size: 1.09 MB
  • Pages: 29
  • Language: EN
  • Total Downloads: 48
  • Last Updated: 1 month ago

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