Sparsity Adaptive Compressive Sensing based Two-stage Channel Estimation Algorithm for Massive MIMO-OFDM Systems
About: This article is published in Radioengineering. The article was published on 01 Jun 2023. and is currently open access. The article focuses on the topics: Compressed sensing & Orthogonal frequency-division multiplexing.
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References
An Introduction To Compressive Sampling
TL;DR: The theory of compressive sampling, also known as compressed sensing or CS, is surveyed, a novel sensing/sampling paradigm that goes against the common wisdom in data acquisition.
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TL;DR: It is shown that the optimal pilot sequences derived in this paper outperform both the orthogonal and random pilot sequences and that a considerable gain in signal-to-noise ratio (SNR) can be obtained by using the RLS algorithm, especially in slowly time-varying channels.
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