Sparsely sampled wideband radar holographic imaging for detection of concealed objects

Ram Mohan Narayanan, Scott A. Wilson, Muralidhar Rangaswamy

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Radar holography has been established as an effective image reconstruction process by which the measured diffraction pattern across an aperture provides information about a threedimensional target scene of interest. In general, the sampling and reconstruction of radar holographic images are computationally expensive. Imaging can be made more efficient with the use of sparse sampling techniques and appropriate interpolation algorithms. Through extensive simulation and experimentation, we show that simple interpolation of sparsely-sampled target scenes provides a quick and reliable approach to reconstruct sparse datasets for accurate image reconstruction leading to reliable concealed target detection and recognition. For scanning radar applications, data collection time can be drastically reduced through application of sparse sampling. This reduced scan time will typically benefit a real-time system by allowing improvements in processing speed and timeliness of decision-making algorithms. An added advantage is the reduction of required data storage. Experimental holographic data are sparsely sampled over a two-dimensional aperture and reconstructed using numerical interpolation techniques. Extensive experimental evaluation of this new technique of interpolation-based sparse sampling strategies suggests that reduced sampling rates do not degrade the objective quality of holograms of concealed objects.

Original languageEnglish (US)
Pages (from-to)67-93
Number of pages27
JournalProgress In Electromagnetics Research B
Volume72
Issue number1
DOIs
StatePublished - Jan 1 2017

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radar
Radar
sampling
interpolation
Sampling
broadband
Interpolation
Imaging techniques
image reconstruction
Image reconstruction
radar scanning
apertures
Holography
experimentation
decision making
Holograms
data storage
Real time systems
Target tracking
holography

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

Cite this

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Sparsely sampled wideband radar holographic imaging for detection of concealed objects. / Narayanan, Ram Mohan; Wilson, Scott A.; Rangaswamy, Muralidhar.

In: Progress In Electromagnetics Research B, Vol. 72, No. 1, 01.01.2017, p. 67-93.

Research output: Contribution to journalArticle

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