Simulation of Coherent Radar Imaging Using Continuous Wave Noise Radar

Jing Xu Department of Electrical Engineering, University of Nebraska at Lincoln, Lincoln, Nebraska

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M. W. Hoffman Department of Electrical Engineering, University of Nebraska at Lincoln, Lincoln, Nebraska

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B. L. Cheong School of Meteorology, and Atmospheric Radar Research Center, University of Oklahoma, Norman, Oklahoma

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R. D. Palmer School of Meteorology, and Atmospheric Radar Research Center, University of Oklahoma, Norman, Oklahoma

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Abstract

A computationally simple cross-correlation model for multiple backscattering from a continuous wave (CW) noise radar is developed and verified with theoretical analysis and brute-force time-domain simulations. Based on this cross-correlation model, a modification of an existing numerical method originally developed by Holdsworth and Reid for spaced antenna (SA) pulsed radar is used to simulate the estimated cross correlation corresponding to atmospheric backscattering using a coherent CW noise radar. Subsequently, coherent radar imaging (CRI) processing comparisons between the CW noise radar and a conventional pulsed radar are presented that verify the potential of CW noise radar for atmospheric imaging.

Corresponding author address: Michael W. Hoffman, Department of Electrical Engineering, University of Nebraska at Lincoln, Lincoln, NE 68588-0511. Email: mhoffman1@unl.edu

Abstract

A computationally simple cross-correlation model for multiple backscattering from a continuous wave (CW) noise radar is developed and verified with theoretical analysis and brute-force time-domain simulations. Based on this cross-correlation model, a modification of an existing numerical method originally developed by Holdsworth and Reid for spaced antenna (SA) pulsed radar is used to simulate the estimated cross correlation corresponding to atmospheric backscattering using a coherent CW noise radar. Subsequently, coherent radar imaging (CRI) processing comparisons between the CW noise radar and a conventional pulsed radar are presented that verify the potential of CW noise radar for atmospheric imaging.

Corresponding author address: Michael W. Hoffman, Department of Electrical Engineering, University of Nebraska at Lincoln, Lincoln, NE 68588-0511. Email: mhoffman1@unl.edu

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