气象雷达超低副瓣失配滤波处理技术研究

Research on Ultra-low Sidelobe Mismatched Filter Processing Technology for Weather Radar

  • 摘要: 在雷达信号处理中,通过匹配滤波进行脉冲压缩可以获得最大化的信噪比,有效地减小了雷达回波中噪声对信号的影响。然而,脉冲压缩的输出具有较高的距离旁瓣,在气象雷达探测中,由于空间分布的散射粒子之间反射强度相差较大,弱散射粒子的回波容易掩没在强散射粒子的旁瓣中,因此有超低旁瓣的需求。本文主要研究了能够降低旁瓣的非线性调频(NLFM)波形和最小积分旁瓣水平(ISL)失配滤波器,分析了多普勒频移对其性能的影响,并在最小ISL滤波器的基础上通过进一步对滤波器系数加权的方法,使得在回波具有多普勒频移的情况下也能达到超低旁瓣的性能。

     

    Abstract: In radar signal processing, pulse compression using matched filter can obtain the maximum signal-to-noise ratio, which effectively reduces the influence of noise in radar echo. However, the output of pulse compression has highly sidelobe level. In weather radar detection, due to the large difference in reflection intensity between spatially distributed scattering particles, the echo of weak scattering particles is easily masked in the sidelobe of strongly scattering particles. Therefore, there is a need for ultra-low sidelobe. This paper mainly studies in nonlinear frequency modulation(NLFM) waveform and the minimum integrated sidelobe level(ISL) mismatch filter which can reduce the sidelobe, and analyzes the influence of Doppler shift on its performance. By optimizing the mismatched filter, the performance of the ultra-low sidelobe can be achieved even if the echo has a Doppler shift.

     

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