为更好地去除动态地物和海浪杂波，采用工程化数学模型建立下击暴流风场，并叠加海陆杂波数据。根据飞行参数和雷达性能参数，获取机载雷达回波仿真信号。预先获取飞行区域地形高度参数、环境风场及海浪、陆地等地物杂波谱宽近似估计值，确定需要进行杂波抑制的距离库。对采样信号进行频谱分析，确定杂波中心谱线，消除宽度等于杂波谱宽估计值内的功率谱线，从而达到消除地物杂波的目的。以剩余功率谱为采样值，进行高斯曲线拟合，完成功率谱重构。对重构的功率谱，计算其总功率、径向平均速度和谱宽值，获取抑制地物杂波后的气象回波信号。仿真结果表明，该方法能够根据飞行区域实时探空资料和地形数据，自适应确定海陆混合运动杂波位置，并消除地物杂波。%In order to remove the dynamic ground and sea wave clutter better, a downburst wind field model is established by the engineering mathematics model and sea land clutter data is overlaid. The simulation signal of air⁃borne radar echo is ob⁃tained on the basis of the flight and radar performance parameters. The flying regional terrain height parameter, environmental wind data, sea wave, land and other approximation estimated values of ground clutter spectrum width are obtained in advance to determine the range bin needed for clutter suppression. The sampling signal spectrum is analyzed to determine the clutter spec⁃trum center line and eliminate the power spectral line whose width is within the estimated clutter spectrum value, so as to realize the purpose of eliminating the wave clutter. Taking the rest power spectrum as the sampling value to complete Gaussian curve fit⁃ting and power spectrum reconstruction. The total power, average radial velocity and spectrum width of the reconstructed power spectrum are calculated to achieve the weather echo signal of the suppressed ground clutter. The simulation results show that the method can self⁃adaptively determine the sea⁃land hybrid clutter location and eliminate the ground clutter according to the real⁃time radiosonde data and topographic data in the flying region.
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