Design of spectrally adaptive noise radar waveforms

Caden J. Pici, Ram Mohan Narayanan

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

Abstract

The emergence of cognitive radar has led to a considerable amount of research into optimizing a radar's waveform to achieve better performance for a desired task. Specifically, optimizing a waveform's energy spectrum to take advantage of interference, noise, and a target's scattering characteristics has led to a number of approaches for design. Noise radar has emerged as a desirable candidate for radar operation in a tactical environment due to its low probability of interception and detection (LPI/LPD) characteristics, along with the ease of wideband waveform generation. This paper attempts to take a step towards the development of a cognitive noise radar by combining these two areas of research. This is studied by looking at adaptive spectral shaping of noise radar pulses to achieve performance gains in the system. Techniques traditionally applied to stochastic process modeling are utilized to derive a pulse shaping filter that takes advantage of the at spectrum of a white noise pulse to shape it to the desired spectral mask.

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

Spurious signal noise
Waveform
Radar
radar
waveforms
Pulse shaping
White noise
Random processes
pulse radar
Masks
interception
Scattering
Pulse Shaping
stochastic processes
pulses
white noise
Stochastic Modeling
Process Modeling
Energy Spectrum
energy spectra

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

Pici, C. J., & Narayanan, R. M. (2019). Design of spectrally adaptive noise radar waveforms. In K. I. Ranney, & A. Doerry (Eds.), Radar Sensor Technology XXIII [110030M] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11003). SPIE. https://doi.org/10.1117/12.2520004
Pici, Caden J. ; Narayanan, Ram Mohan. / Design of spectrally adaptive noise radar waveforms. 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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Pici, CJ & Narayanan, RM 2019, Design of spectrally adaptive noise radar waveforms. in KI Ranney & A Doerry (eds), Radar Sensor Technology XXIII., 110030M, 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/10.1117/12.2520004

Design of spectrally adaptive noise radar waveforms. / Pici, Caden J.; Narayanan, Ram Mohan.

Radar Sensor Technology XXIII. ed. / Kenneth I. Ranney; Armin Doerry. SPIE, 2019. 110030M (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11003).

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

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Pici CJ, Narayanan RM. Design of spectrally adaptive noise radar waveforms. In Ranney KI, Doerry A, editors, Radar Sensor Technology XXIII. SPIE. 2019. 110030M. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2520004