A compound Gaussian-based waveform design approach for enhanced target detection in multistatic radar imaging

Zacharie Idriss, Raghu G. Raj, Ram Mohan Narayanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Much work has been done designing transmit waveforms for target identification, classification, and detection. In addition, these have also been studied in both single and multiple-antenna scenarios. In this work, we study the construction of a waveform when multiple radar sensors are used to image a target scene. The scene is assumed to have a prior distribution given by a Compound Gaussian (CG) - a model that has proven very useful in the field of image processing. Waveform optimization is done with the objective of optimizing mutual information, while reconstruction was performed using sparsity based reconstruction techniques. In our work, the waveform is tailored for a particular target of interest in the scene while suppressing the clutter. Using our waveform techniques, we demonstrate statistically significant improvements in the quality of the reconstructed image in peak signal-to-noise ratio (PSNR) and structural similarity index metric (SSIM). We validate our algorithms using the MSTAR database.

Original languageEnglish (US)
Title of host publicationRadar Sensor Technology XXIII
EditorsKenneth I. Ranney, Armin Doerry
PublisherSPIE
ISBN (Electronic)9781510626713
DOIs
StatePublished - Jan 1 2019
EventRadar Sensor Technology XXIII 2019 - Baltimore, United States
Duration: Apr 15 2019Apr 17 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11003
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceRadar Sensor Technology XXIII 2019
CountryUnited States
CityBaltimore
Period4/15/194/17/19

Fingerprint

multistatic radar
Radar Imaging
Radar imaging
Target Detection
Target tracking
Waveform
Signal to noise ratio
waveforms
Radar
Image processing
Antennas
Sensors
Target Identification
Similarity Index
Target
Structural Similarity
Multiple Antennas
clutter
Clutter
Prior distribution

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Idriss, Z., Raj, R. G., & Narayanan, R. M. (2019). A compound Gaussian-based waveform design approach for enhanced target detection in multistatic radar imaging. In K. I. Ranney, & A. Doerry (Eds.), Radar Sensor Technology XXIII [110031C] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11003). SPIE. https://doi.org/10.1117/12.2522428
Idriss, Zacharie ; Raj, Raghu G. ; Narayanan, Ram Mohan. / A compound Gaussian-based waveform design approach for enhanced target detection in multistatic radar imaging. Radar Sensor Technology XXIII. editor / Kenneth I. Ranney ; Armin Doerry. SPIE, 2019. (Proceedings of SPIE - The International Society for Optical Engineering).
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Idriss, Z, Raj, RG & Narayanan, RM 2019, A compound Gaussian-based waveform design approach for enhanced target detection in multistatic radar imaging. in KI Ranney & A Doerry (eds), Radar Sensor Technology XXIII., 110031C, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11003, SPIE, Radar Sensor Technology XXIII 2019, Baltimore, United States, 4/15/19. https://doi.org/10.1117/12.2522428

A compound Gaussian-based waveform design approach for enhanced target detection in multistatic radar imaging. / Idriss, Zacharie; Raj, Raghu G.; Narayanan, Ram Mohan.

Radar Sensor Technology XXIII. ed. / Kenneth I. Ranney; Armin Doerry. SPIE, 2019. 110031C (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11003).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Idriss Z, Raj RG, Narayanan RM. A compound Gaussian-based waveform design approach for enhanced target detection in multistatic radar imaging. In Ranney KI, Doerry A, editors, Radar Sensor Technology XXIII. SPIE. 2019. 110031C. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2522428