49
Views
0
CrossRef citations to date
0
Altmetric
Articles

A PAPR reduction scheme of OFDM system using a selected partial companding technique for logging signals

&
Pages 350-359 | Received 12 Feb 2014, Accepted 30 Jun 2014, Published online: 15 Dec 2015
 

Abstract

Due to the restrictions on the size of instruments and temperature of working environment, the transmission scheme of the well logging systems must be simple. Most of the latest well logging systems have adopted the orthogonal frequency division multiplexing (OFDM) as the modulation and demodulation scheme. To reduce the peak-to-average-power ratio of OFDM, we propose a selected partial companding method based tone reservation in this paper. According to the feature of logging data, firstly we concentrate the signals that have large power into a range in time label with tone reservation method. Then, the signals would be compressed in the transmitter side, and the inverse transformation expansion would be performed in the receiver side. In this paper, we also propose a method to get the optimal companding coefficient. We have also simulated the scheme with Matlab. The result shows that the method is simple but effective for well logging data.

Funding

This work was supported by Major Projects of Oil and Gas of Chinese 12th 5-year National Science Technology Planning [grant number 2009ZX05009-005].

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 330.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.