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: Vehicular Technology Conference (VTC Spring), 2017 IEEE 85th. IEEE. ISBN 978-1-5090-5932-4

Full text not available from this repository. (Request a copy)

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: Book Section
Identification Number: https://doi.org/10.1109/VTCSpring.2017.8108354
Dates:
DateEvent
16 November 2017Published
Uncontrolled Keywords: Channel estimation, compressed sensing, sparse, HAP, superimposed pilot.
Subjects: CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - 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
Depositing User: Ian Mcdonald
Date Deposited: 24 Mar 2017 15:01
Last Modified: 22 Mar 2023 12:01
URI: https://www.open-access.bcu.ac.uk/id/eprint/4149

Actions (login required)

View Item View Item

Research

In this section...