Quality Analysis for Real-Time Data in MIMO Communication Using Adaptive Kalman Filtration-Reference-Cited by-同舟云学术

Quality Analysis for Real-Time Data in MIMO Communication Using Adaptive Kalman Filtration

Published:2018-11-03 Issue: Volume: Page:545-557
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Rajender G.,Anilkumar T.,Srinivasa Rao K.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-1906-8_56

Reference13 articles.

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2. Mehrpouyan H, Nasir AA, Blostein SD, Eriksson T, Karagiannidis GK, Svensson T (2014) Joint estimation of channel and oscillator phase noise in MIMO system. IEEE Trans Signal Process 60(9):4790–4807

3. Movahedian A, McGuire M (2014) Efficient and accurate semi blind estimation of MIMO-OFDM Doubly-selective channels. In: 80th VTC Fall. IEEE, pp 1–5

4. Zhang S, Wang D, Zhao J (2014) A Kalman filtering channel estimation method based on state transfer coefficient using threshold correction for UWB systems. Int J Future Gener Commun Netw 7(1):117–124

5. Gutta V, Anand KKT, Movva TSVS, Korivi BR, Killamsetty S, Padmanabhan S (2015) Low complexity channel estimation using fuzzy Kalman filter for fast time varying MIMO-OFDM systems. In: ICACCI. IEEE, pp 1771–1774

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