101
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Time-domain analysis of multiple scattering effects on the radar cross section (RCS) of objects in a random medium

, &
Pages 1905-1920 | Received 19 Aug 2019, Accepted 17 Dec 2019, Published online: 03 Jan 2020
 

ABSTRACT

This paper presents a theory of the time-domain radar cross section (RCS) of objects in discrete random media. The time-domain formula is obtained by applying the inverse Fourier transform of the two-frequency mutual coherence function (MCF) which is derived from both the second-order Rytov approximation and the strong fluctuation theory. This theory includes the backscattering enhancement and the time-domain shower curtain effect that are not normally considered in the conventional theory. Numerical examples of the time-domain RCS of a conducting square plate in a discrete random medium characterized by the Gaussian phase function are shown to highlight the random media effects on the time-domain waveforms including time delay and pulse broadening in terms of optical depth and random medium location. Numerical results show that both pulse arrival time and pulse broadening increase significantly when the random media is placed far from the target. This degradation of the image quality, known as the shower curtain effect, can be explained by the characteristics of the incoherent component.

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 552.00 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.