Evaluation of OFDM channel sounding techniques with three modulation sequences

Marcelo Molina Silva, Luiz Da Silva Mello, Carlos V. Rodríguez Ron, M. P.C. Almeida, Alexander Beremiz Hilario Tacuri, Pedro Gonzalez Castellanos, L. H. Gonsioroski

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents an evaluation of multicarrier channel sounding techniques using different random and pseudorandom sequences to modulate the OFDM sounding signal. The Random (Rand), Pseudo-Noise (PN) and Zadoff-Chu (ZC) were tested, both in laboratory simulations and in field measurements. For the laboratory simulations Matlab routines were used to generate OFDM signals modulated with each of the three sounding signals, that were then convoluted with a synthesized transfer function of a test channel with six multipath components and added Gaussian noise and Doppler fading. The resulting signals are then correlated with a copy of the original signal to provide the multipath power delay profiles. The root mean square deviation (RMSD) and the relationship between peak power and mean power (PAPR) were used as metrics for the comparison between the test transfer function and the simulation detected multipath delay profiles, showing slight advantages of the ZC sequence. The three sequences were then used in field measurements to characterize an urban channel at 700 MHz. In the field measurements, the ZC sequence showed the lowest detection threshold, allowing for the detection of a larger number of multipath components.

Original languageEnglish
Pages (from-to)505-529
Number of pages25
JournalJournal of Microwaves, Optoelectronics and Electromagnetic Applications
Volume18
Issue number4
DOIs
StatePublished - 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 SBMO/SBMag.

Keywords

  • Broadband channel sounding
  • Channel characterization
  • Radio propagation

Fingerprint

Dive into the research topics of 'Evaluation of OFDM channel sounding techniques with three modulation sequences'. Together they form a unique fingerprint.

Cite this