A Super-Resolution Channel Estimation Algorithm Using Convex Programming-Reference-Cited by-同舟云学术

A Super-Resolution Channel Estimation Algorithm Using Convex Programming

Published:2017 Issue:5 Volume:E100.A Page:1236-1239
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

HAO Huan¹,WANG Huali¹,LV Wanghan²,CHEN Liang¹

Affiliation:

1. Institute of Communications Engineering, PLA University of Science and Technology

2. School of Electronic and Optical Engineering, Nanjing University of Science and Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E100.A/5/E100.A_1236/_pdf

Reference12 articles.

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2. [2] X. Li and K. Pahlavan, “Super-resolution TOA estimation with diversity for indoor geolocation,” IEEE Trans. Wireless Commun., vol.3, no.1, pp.224-234, 2004.

3. [3] V.U. Prabhu and D. Jalihal, “An improved ESPRIT based time-of-arrival estimation algorithm for vehicular OFDM systems,” Proc. 2009 IEEE Vehicular Technology Conference-Spring, vol.1, pp.26-29, 2009.

4. [4] D. Rui, Q. Zhihong, and W. Xue, “Joint TOA and DOA estimation of IR-UWB system based on matrix pencil,” Proc. 2009 International Forum on Information Technology and Applications, vol.1, pp.544-547, May 2009.

5. [5] D. Oh, D. Kim, and J.W. Chong, “Effective preprocessing transformation with rake reception for shift invariant TOA estimation of chirp signals in multipath environments,” IEEE Commun. Lett., vol.16, no.3, pp.338-341, 2012.

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