Adaptive sequential refinement: A tractable approach for ambiguity function shaping in cognitive radar

Omar Aldayel, Tiantong Guo, Vishal Monga, Muralidhar Rangaswamy

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

3 Citations (Scopus)

Abstract

Ambiguity function shaping continues to be one of the most challenging open problems in cognitive radar. Analytically, a complex quartic function should be optimized as a function of the radar waveform code. Practical considerations further require that the waveform be constant modulus, which exacerbates the issue and leads to a hard non-convex problem. We develop a new approach called Adaptive Sequential Refinement (ASR) to suppress the clutter returns for a desired range-Doppler, i.e. ambiguity function response. ASR solves the aforementioned optimization problem in a unique iterative manner such that the formulation is updated depending on the iteration index. We establish formally that: 1.) the problem in each step of the iteration has a closed form solution, and 2.) monotonic decrease of the cost function until convergence is guaranteed. Experimental validation shows that ASR produces a radar waveform with higher Signal to Interference Ratio (SIR) and superior ambiguity function shaping than state of the art alternatives even as its computational burden is orders of magnitude lower.

Original languageEnglish (US)
Title of host publicationConference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages573-577
Number of pages5
Volume2017-October
ISBN (Electronic)9781538618233
DOIs
StatePublished - Apr 10 2018
Event51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 - Pacific Grove, United States
Duration: Oct 29 2017Nov 1 2017

Other

Other51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
CountryUnited States
CityPacific Grove
Period10/29/1711/1/17

Fingerprint

Ambiguity Function
Waveform
ambiguity
Radar
radar
Refinement
waveforms
Iteration
Nonconvex Problems
Experimental Validation
iteration
Clutter
Doppler
Quartic
Closed-form Solution
Monotonic
Cost Function
Open Problems
Modulus
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All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Biomedical Engineering
  • Instrumentation

Cite this

Aldayel, O., Guo, T., Monga, V., & Rangaswamy, M. (2018). Adaptive sequential refinement: A tractable approach for ambiguity function shaping in cognitive radar. In Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 (Vol. 2017-October, pp. 573-577). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACSSC.2017.8335406
Aldayel, Omar ; Guo, Tiantong ; Monga, Vishal ; Rangaswamy, Muralidhar. / Adaptive sequential refinement : A tractable approach for ambiguity function shaping in cognitive radar. Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. Vol. 2017-October Institute of Electrical and Electronics Engineers Inc., 2018. pp. 573-577
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Aldayel, O, Guo, T, Monga, V & Rangaswamy, M 2018, Adaptive sequential refinement: A tractable approach for ambiguity function shaping in cognitive radar. in Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. vol. 2017-October, Institute of Electrical and Electronics Engineers Inc., pp. 573-577, 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017, Pacific Grove, United States, 10/29/17. https://doi.org/10.1109/ACSSC.2017.8335406

Adaptive sequential refinement : A tractable approach for ambiguity function shaping in cognitive radar. / Aldayel, Omar; Guo, Tiantong; Monga, Vishal; Rangaswamy, Muralidhar.

Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. Vol. 2017-October Institute of Electrical and Electronics Engineers Inc., 2018. p. 573-577.

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

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Aldayel O, Guo T, Monga V, Rangaswamy M. Adaptive sequential refinement: A tractable approach for ambiguity function shaping in cognitive radar. In Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. Vol. 2017-October. Institute of Electrical and Electronics Engineers Inc. 2018. p. 573-577 https://doi.org/10.1109/ACSSC.2017.8335406