A recursive algorithm for long-term space-time correlated sea clutter simulation

Mengjia Duan; Jianda Xie; Xiaojian Xu

doi:10.1117/12.3031381

18 November 2024 A recursive algorithm for long-term space-time correlated sea clutter simulation

Mengjia Duan, Jianda Xie, Xiaojian Xu

Proceedings Volume 13195, Microwave Remote Sensing: Data Processing and Applications III; 131950J (2024) https://doi.org/10.1117/12.3031381
Event: Remote Sensing, 2024, Edinburgh, United Kingdom

Abstract

High fidelity simulation of continuous correlated sea clutter with long-term space-time correlation characteristics has always been a challenge. A memoryless nonlinear transform (MNLT) based sea clutter intensity simulation followed by a continuous phase retrieval method based on alternating projections (AP) algorithm provides a kind of solution with promising performance. In this paper, a recursive algorithm is proposed which can be used to replace the fast Fourier transform (FFT) for long-term sea clutter phase retrieval under the constrain of the desired time-varying Doppler spectra. Simulation results based on the parameter estimation of Council for Scientific and Industrial Research (CSIR) Fynmeet radar data demonstrate that the proposed recursive algorithm generates complex sea clutter data with exact space-time correlation characteristics as specified, while with much less calculation.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mengjia Duan, Jianda Xie, and Xiaojian Xu "A recursive algorithm for long-term space-time correlated sea clutter simulation", Proc. SPIE 13195, Microwave Remote Sensing: Data Processing and Applications III, 131950J (18 November 2024); https://doi.org/10.1117/12.3031381

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