Kalman Filter Based Recursive Estimation of Slowly Fading Sparse Channel in Impulsive Noise Environment for OFDM Systems

Research article (IEEE Transactions on Vehicular Technology, 2020) · cited 23× · AI/ML
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Kalman Filter Based Recursive Estimation of Slowly Fading Sparse Channel in Impulsive Noise Environment for OFDM Systems

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Kalman Filter Based Recursive Estimation of Slowly Fading Sparse Channel in Impulsive Noise Environment for OFDM Systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Kalman Filter Based Recursive Estimation of Slowly Fading Sparse Channel in Impulsive Noise Environment for OFDM Systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/kalman-filter-based-recursive-estimation-of-slowly-fading-sparse-channel-in-impulsive-noise-environment-for-ofdm-systems
MLA “Kalman Filter Based Recursive Estimation of Slowly Fading Sparse Channel in Impulsive Noise Environment for OFDM Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/kalman-filter-based-recursive-estimation-of-slowly-fading-sparse-channel-in-impulsive-noise-environment-for-ofdm-systems.
BibTeX @misc{4ortxyz_kalman-filter-based-recursive-estimation-of-slowly-fading-sparse-channel-in-impulsive-noise-environment-for-ofdm-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Kalman Filter Based Recursive Estimation of Slowly Fading Sparse Channel in Impulsive Noise Environment for OFDM Systems}}, year = {2026}, url = {https://4ort.xyz/entity/kalman-filter-based-recursive-estimation-of-slowly-fading-sparse-channel-in-impulsive-noise-environment-for-ofdm-systems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Kalman Filter Based Recursive Estimation of Slowly Fading Sparse Channel in Impulsive Noise Environment for OFDM Systems — https://4ort.xyz/entity/kalman-filter-based-recursive-estimation-of-slowly-fading-sparse-channel-in-impulsive-noise-environment-for-ofdm-systems (retrieved 2026-05-24)

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