Oct 3, 2016 · The main contribution of this paper includes three superimposed training (SiT) sequence based channel estimation techniques for sparse multipath ...
Mar 22, 2023 · The performance gain in MSE and BER is observed to improve with an increase in the channel sparsity. Item Type: Article. Additional Information: ...
The main contribution of this paper includes three superimposed training (SiT) sequence based channel estimation techniques for sparse multipath MIMO channels.
A superimposed (SI) training-based compressed channel sensing (SI-CCS) technique is proposed for such sparse multipath channels. A non-random periodic pilot ...
Download. Article (Scientific journals). Compressed Sensing of Sparse Multipath MIMO Channels with Superimposed Training Sequence. Amin, B.; Mansoor, B ...
A spectrally efficient Superimposed Training (SiT) based estimation approach is adopted, coupled with Compressive Sensing (CS) techniques to exploit the ...
Missing: Sequence. | Show results with:Sequence.
A superimposed (SI) training-based compressed channel sensing (SI-CCS) technique is proposed for such sparse multipath channels. A non-random periodic pilot ...
This paper propose a novel SiT based technique for es- timation of frequency selective sparse MIMO communication channels. A superimposed training based ...
This study aims to know and analyze: (1) The influence of work discipline, the organizational culture, and work environment against the performance of ...
[PDF] GA Based Sensing of Sparse Multipath Channels with ...
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An improved Genetic Algorithms (GA) based sparse multipath channels estimation technique with Superimposed Training (ST) sequences is proposed to be added ...