Journals / Turkish Journal of Science and Technology / 2017 / Volume: 12 Issue: 2

LSE Channel Estimation and Performance Analysis of OFDM Systems

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Publication Date
2017-10-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Signal to noise ratio (SNR) indicated notable efficacy in this paper that obtained by using the LS algorithm, in particular channels with variation in time.

📌 3 Key Takeaways

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Objective & Hypothesis:Orthogonal frequency division multiplex (OFDM) is one of the best approaches to overcome frequency selectivity of channels.
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Key Findings & Data:To improve channel estimation achievement a LS algorithm is developed, so we obtain Bit Error Rate (BER) performance of channel.
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Conclusion & Impact:Signal to noise ratio (SNR) indicated notable efficacy in this paper that obtained by using the LS algorithm, in particular channels with variation in time.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Channel Estimation · LSE · MIMO System

Abstract

Orthogonal frequency division multiplex (OFDM) is one of the best approaches to overcome frequency selectivity of channels. In multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, we purposed channel estimation with least squares (LS) estimation method in this paper. To improve channel estimation achievement a LS algorithm is developed, so we obtain Bit Error Rate (BER) performance of channel. Mean Square Error (MSE) of LS estimation calculated and depicted with figures. Signal to noise ratio (SNR) indicated notable efficacy in this paper that obtained by using the LS algorithm, in particular channels with variation in time.

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Cite This Article

Kamışlıoğlu, B., Akbal, A. (2017). LSE Channel Estimation and Performance Analysis of OFDM Systems. Turkish Journal of Science and Technology, Volume: 12 Issue: 2. https://ajindex.com/articles/1557922

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