Location-aware and Superimposed-Pilot based Channel Estimation of Sparse HAP Radio Communication Channels

Nawaz, Syed Junaid and Mansoor, Babar and Sharma, Shree and Gulfram, Sardar Muhammad and Patwary, Mohammad (2017) Location-aware and Superimposed-Pilot based Channel Estimation of Sparse HAP Radio Communication Channels. In: IEEE 85th Vehicular Technology Conference, 4-7 June, Sydney. (In Press)

[img]
Preview
Text
259-11541 (VTC Final Submission).pdf

Download (550kB)

Abstract

A superimposed (arithmetically added) Pilot (SiP)
sequence based channel estimation method for beamforming assisted multi-antenna High Altitude Platform (HAP) land mobile radio communication systems is proposed, which exploits the prior available information of users’ spatial location, density of users, and beam-width of HAP directional antenna. A thorough characterization of HAP sparse multipath radio propagation channels’ is presented in first part of the paper, where mathematical relationship of HAP antenna beam-width with
channel’s delay span and optimal length of SiP base sequence are presented. Further, a location information aided and lowpower SiP sequence based Stage-wise Orthogonal Match Pursuit (StOMP) algorithm is proposed for estimation of channels from single-antenna user terminals to beamforming assisted large scale multiple-antenna HAP. A thorough analysis on the basis
of Normalized Channel Mean Square Error (NCMSE) and Bit Error Rate (BER) performance of proposed method is presented; where the effect of channels’ sparsity level, Pilot-to-Information power Ratio (PIR), beam-width of HAP’s directional antenna, amount of HAP antenna elements, density of interfering users, and spatial location of active user terminal are thoroughly studied. A comparison of the proposed method with a notable
reference technique available in the literature is also presented.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Channel estimation, compressed sensing, sparse, HAP, superimposed pilot.
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Cloud Computing
UoA Collections > UoA11: Computer Science and Informatics
Depositing User: $ Ian McDonald
Date Deposited: 24 Mar 2017 15:01
Last Modified: 24 Mar 2017 15:01
URI: http://www.open-access.bcu.ac.uk/id/eprint/4149

Actions (login required)

View Item View Item

Research

In this section...