Simulation study of first-order sea clutter Doppler spectra for shipborne high frequency radar via hybrid sky-surface wave propagation

Yinsheng Wei; Yongpeng Zhu

doi:10.1117/1.JRS.11.014001

10 January 2017 Simulation study of first-order sea clutter Doppler spectra for shipborne high frequency radar via hybrid sky-surface wave propagation

Yinsheng Wei, Yongpeng Zhu

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 11, Issue 1, 014001 (January 2017). https://doi.org/10.1117/1.JRS.11.014001

Abstract

The Doppler spectra of first-order sea echo are studied in a high frequency radar system for hybrid sky-surface wave propagation when the receiving antenna array is mounted on a shipborne platform. Here, the platform motion and ionosphere perturbed phases are assumed to be the key factors resulting in the sea clutter spectral fluctuation. Based on the received first-order electric field equation, a closed form of cross sections is derived to account for the ship motion influence. It is shown numerically that the resultant clutter spectra exhibit significant discrepancies with different system operating parameters and platform motion states. In addition, the phase path variations along the inhomogeneous ionosphere are considered by dividing the ionosphere into the quiescent and distorted components. Such manipulation makes it feasible to simulate the phase fluctuations with a method associated with deterministic and stochastic models. Eventually, simulation results for a composite modulation taking account of both effects are provided. Compared with the spread Doppler spectra due to the platform motion, the attached ionosphere perturbed phases will further split and leak the spectral energy, which may bring in difficulties for the applications in remote sensing and target detection.

Citation Download Citation

Yinsheng Wei and Yongpeng Zhu "Simulation study of first-order sea clutter Doppler spectra for shipborne high frequency radar via hybrid sky-surface wave propagation," Journal of Applied Remote Sensing 11(1), 014001 (10 January 2017). https://doi.org/10.1117/1.JRS.11.014001

Received: 30 June 2016; Accepted: 20 December 2016; Published: 10 January 2017

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