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Publication Type : Conference Proceedings
Thematic Areas : Center for Computational Engineering and Networking (CEN)
Publisher : Proceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013
Source : Proceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013, Kerala, p.847-851 (2013)
ISBN : 9781467350891
Keywords : Acoustic transmission, Basis pursuit de-noising (BPDN), Basis pursuit denoising, Bit error rate, Channel estimation, Communication, Estimation, Iterative methods, Least square estimation, Least squares approximations, Low computational complexity, Mean square error, Minimum mean square error estimations, Orthogonal frequency division multiplexing, Signal reconstruction, Underwater acoustic channels, Underwater acoustics, Wireless communications, Wireless telecommunication systems
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Verified : Yes
Year : 2013
Abstract : Channel estimation is an important aspect in wireless communication, in which an estimate of the interference caused to the normal transmission is found, which is then cancelled to retrieve the original signal. In UnderWater Acoustic transmission, two main effects are delay spread and Doppler shift. It has been found[10] that while sampling in the delay - Doppler domain, the effect of the channel can be treated as sparse. Thus framing the estimation problem as an optimization problem of the form of a Basis Pursuit De Noising (BPDN)[21] and solving it using sparse reconstruction methods could be a good technique. In addition to giving good sparse solution, the technique also assures low computational complexity, (due to iterative nature of solution methodology) when compared to traditional estimation methods like Least Square Estimation (LSE) and Minimum Mean Square Error Estimation(MMSE). © 2013 IEEE.
Cite this Research Publication : Ka Lakshmi, Muralikrishna, Pb, and Dr. Soman K. P., “Compressive estimation of UWA channels for OFDM transmission using iterative sparse reconstruction algorithms”, Proceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013. Kerala, pp. 847-851, 2013.