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机载脉冲多普勒气象雷达信号处理技术研究
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摘要
飞机在飞行过程中需要时刻掌握飞行前方的气象状况。而空中的气象情况总是复杂多变,尤其在极端天气易发的季节和地区,想要单纯依靠地面的气象预报来准确掌握航程中的气象动态是非常困难的。机载脉冲多普勒气象雷达则能够用清晰的图像实时显示出飞机前方的气象状况,并及时将极端天气的报警信息提供给飞行员,以提前躲避危险。
     本文在分析气象回波时域与频域特性的基础之上,阐述了针对气象信号平均功率、平均速度以及谱宽三个特征的估计算法原理,通过仿真对频域估计算法和脉冲对估计算法进行了性能的对比分析;研究了针对机载环境下地杂波的抑制方法原理,通过仿真对动目标显示技术与动目标检测技术进行了模拟与分析;结合实际的气象目标特征,重点对普通气象、湍流、低空风切变三类气象目标进行了建模,对建立的模型进行了信号处理仿真,仿真结果分析表明了本文所运用信号处理方法的正确性与有效性。
Pilots need to manage the weather status in front of aircrafts which are in the airline. Usually, the weather status is complex and changeful, especially in certain season or certain zone where extreme weather phenomena occur frequently. It is difficult to manage weather dynamic situation well and truly, relying on forecast supplied by meteorology center. Airborne pulse doppler weather radar could display clear colorized weather image dynamically on its screen and give pilots alarm about the extreme weather area to avoid risk betimes.
     The thesis introduces the theory of estimating algorithms about weather echo average power, average velocity and spectrum width based on the properties of radar echo in the time and frequency domains, and then analyzes the performance of Pulse Pair Processing (PPP) algorithm and Fast Fourier Transform (FFT) algorithm by computer simulations. Moreover the theory of elimination algorithms about ground clutter on airborne platform is studied, and then the performances of Moving Target Indication (MTI) algorithm and Moving Target Detection (MTD) algorithm are analyzed by simulations. This thesis also establishes models about common weather target, turbulent air and low altitude windshear, and does signal processing simulations based on the models. The simulation results show the validity of the signal processing methods adopted in this thesis.
引文
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