Loading

Millimeter Wave Channel Estimation and Beam forming Techniques
Y. Srinivasa Rao1, R. Madhu2

1Y. Srinivasa Rao, Ph.D Scholar, Department of ECE, JNTUK University, Kakinada (A.P), India. 

2R. Madhu, Department of ECE, JNTUK University, Kakinada (A.P), India. 

Manuscript received on 24 November 2019 | Revised Manuscript received on 12 December 2019 | Manuscript Published on 30 December 2019 | PP: 387-391 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B10531292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1053.1292S319

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Millimeter-wave(mm-wave) frequencies offer higher bandwidth communication channels. Most of the wireless communication equipment operates with 6GHZ carrier frequencies, where the millimeter-wave communication systems are operated in the frequency range of 30GHZ to 300GHZ. Channel estimation will become a difficult task when the number of antennas is more than the number of radiofrequency chains. Millimeter-wave communication has received large attention from research fraternity and industry. In this paper, we listed the evolution and advancements in antenna beam forming, at the same time we outline some of the channel estimation techniques such as Auxiliary Beam pair (ABP), Adaptive algorithm based Codebook design(AABCD), Estimation of Signal Parameters by Rotational Invariance Technique (ESPRIT).

Keywords: AABCD, ABP, Beamforming, ESPRIT, mm-wave.
Scope of the Article: Knowledge Engineering Tools and Techniques