机身抖动和阵元失效情况下无人机载雷达精细化杂波仿真方法

      Refined Clutter Simulation Method for UAV-Borne Radar with Airframe Vibration and Array Element Failures

      • 摘要: 传统机载雷达杂波仿真方法假设地貌类型一致且不考虑地形遮挡现象,但是在实际工程中,无人机载预警雷达波束照射的地表覆盖范围广阔,地形复杂,地形遮挡不可避免。同时,由于无人机重量轻、翼展长,滞空时间长,因此存在较为严重的机身抖动和阵元失效现象。为了更加逼真地模拟仿真真实环境下的无人机载雷达杂波数据,本文在建立机身抖动与阵元失效模型的基础上,提出了一种精细化杂波仿真方法。该方法通过引入动态时变参数,将机身抖动和阵元失效的特征融入到杂波仿真中。仿真结果表明,本文所提方法能够逼真模拟复杂地形环境下的机载雷达杂波数据;机身抖动和阵元失效情况下的杂波仿真结果与理论分析一致,具体表现为主瓣杂波展宽、主瓣杂波幅度降低、旁瓣杂波幅度提升。

         

        Abstract: Traditional airborne radar clutter simulation methods assume uniform terrain types and disregard the terrain occlusion phenomena. However, in practical engineering applications, the surface coverage illuminated by UAV-borne early warning radar beams spans vast areas with complex topography, where terrain occlusion is inevitable. In addition, given UAVs' lightweight construction, extended wingspans, and prolonged airborne endurance, significant challenges have emerged, including pronounced airframe vibrations and array element failures. To achieve more realistic simulations of UAV-borne radar clutter data in authentic environments, this paper proposes a refined clutter simulation method that incorporates airframe vibration and array element failure models. By introducing dynamic time-varying parameters, this method effectively integrates the airframe vibration and array element failure characteristics into a clutter simulation. The simulation results demonstrate that the proposed method can realistically simulate airborne radar clutter data in complex terrain environments; under conditions of airframe vibration and array element failure, the simulated clutter characteristics align with theoretical analyses, specifically manifested as mainlobe clutter broadening, mainlobe clutter amplitude reducing, and sidelobe clutter amplitude increasing.

         

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