166
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Low cost FMCW radar systems with the reduced number of FFT points under indoor environments

, , , & ORCID Icon
Pages 1616-1628 | Received 14 Jun 2016, Accepted 03 Apr 2018, Published online: 06 May 2018
 

Abstract

In this paper proposed is a cost-efficient signal processing algorithm of a frequency modulation continuous wave (FMCW) radar for the close range under indoor environments. Recently, the use of an FMCW radar has been expanded to short distance from long distance due to easy production and inexpensive designing costs. In order to obtain satisfying resolution of the close range radar, it still requires a wide modulation bandwidth, which results in high costing wideband RF devices. This paper proposes a cost-efficient signal processing method using correlations between a reflected signal in frequency-domain and a lookup table which holds the frequency information depending on distances. The proposed algorithm shows the similar performance to a wideband system just by updating a firmware of low costing narrowband RF FMCW radar devices without additional hardware modification.

Notes

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research was partly supported by the Industrial Core Technology Development Program [No. 10049138] funded by the Ministry of Trade, Industry & Energy and CAD tools are supported by IDEC in Korea.

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 561.00 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.