Doppler spectral analysis for two-dimensional time-evolving nonlinear sea surfaces

Xiaofei Li; Xiaojian Xu

doi:10.1117/12.849796

12 May 2010 Doppler spectral analysis for two-dimensional time-evolving nonlinear sea surfaces

Xiaofei Li, Xiaojian Xu

Proceedings Volume 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI; 76960I (2010) https://doi.org/10.1117/12.849796
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Modeling of the electromagnetic (EM) scattering mechanisms from two-dimensional (2-D) time-evolving sea surfaces is a particularly complicated problem. The intricate structure of surface waves and the scattering models noticeably influence the simulated radar signatures. Scattering calculation and Doppler spectra from the sea surfaces have been intensively studied, experimentally as well as theoretically in the past decades. However, to author's knowledge, very few results can be found in literatures for Doppler spectra from two-dimensional time-evolving nonlinear sea surfaces. In this work we focus on the Doppler spectral characteristics from 2-D time-evolving nonlinear sea surfaces. Based on Creamer's sea surface model, the first-order small slope approximation (SSA) method is applied to solve the 3-D scattering problem. The Doppler spectra of the backscattered signals from 2-D time-evolving sea surfaces are studied for different incident angles (from normal to grazing) as well as wind directions (from upwind to crosswind). The impacts of the nonlinearity on the Doppler shifts and spectral widths of backscattered signals are analyzed.

Citation Download Citation

Xiaofei Li and Xiaojian Xu "Doppler spectral analysis for two-dimensional time-evolving nonlinear sea surfaces", Proc. SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 76960I (12 May 2010); https://doi.org/10.1117/12.849796

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