Channel impulse response length and noise variance estimation for OFDM systems with adaptive guard interval

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Nguyen, V.D.; Kuchenbecker, H.-P.; Haas, H.; Kyamakya, K.; Gelle, G.: Channel impulse response length and noise variance estimation for OFDM systems with adaptive guard interval. In: Eurasip Journal on Wireless Communications and Networking 2007 (2007), 24342. DOI: https://doi.org/10.1155/2007/24342

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1738

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Sum total of downloads: 187




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Abstract: 
A new algorithm estimating channel impulse response (CIR) length and noise variance for orthogonal frequency-division multiplexing (OFDM) systems with adaptive guard interval (GI) length is proposed. To estimate the CIR length and the noise variance, the different statistical characteristics of the additive noise and the mobile radio channels are exploited. This difference is due to the fact that the variance of the channel coefficients depends on the position within the CIR, whereas the noise variance of each estimated channel tap is equal. Moreover, the channel can vary rapidly, but its length changes more slowly than its coefficients. An auxiliary function is established to distinguish these characteristics. The CIR length and the noise variance are estimated by varying the parameters of this function. The proposed method provides reliable information of the estimated CIR length and the noise variance even at signal-to-noise ratio (SNR) of 0 dB. This information can be applied to an OFDM system with adaptive GI length, where the length of the GI is adapted to the current length of the CIR. The length of the GI can therefore be optimized. Consequently, the spectral efficiency of the system is increased.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2007
Appears in Collections:Fakultät für Elektrotechnik und Informatik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 107 57.22%
2 image of flag of United States United States 30 16.04%
3 image of flag of China China 10 5.35%
4 image of flag of India India 6 3.21%
5 image of flag of Russian Federation Russian Federation 5 2.67%
6 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 4 2.14%
7 image of flag of Taiwan Taiwan 3 1.60%
8 image of flag of Korea, Republic of Korea, Republic of 3 1.60%
9 image of flag of Finland Finland 3 1.60%
10 image of flag of France France 2 1.07%
    other countries 14 7.49%

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