引用本文: | 李海,崔爱璐,章涛,吴仁彪. 基于粒子滤波的差分传播相移估计方法[J]. 雷达科学与技术, 2017, 15(5): 457-466.[点击复制] |
李海,崔爱璐,章涛,吴仁彪. Estimation of Differential Propagation Phase Shift for Dual-Polarization Radar Based on Particle Filter[J]. Radar Science and Technology, 2017, 15(5): 457-466.[点击复制] |
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摘要: |
针对差分传播相移与差分传播相移率易受到各种噪声及其他偏振参量衰减影响的问题,提出了一种粒子滤波方法,实现差分传播相移与差分传播相移率的估计。该方法首先利用偏振参量之间的相互关系建立状态方程和观测方程,然后将方程应用于粒子滤波同步估计差分传播相移与差分传播相移率。所提方法与滑动平均、迭代滤波以及卡尔曼滤波方法利用X波段双偏振多普勒雷达X-SAPR的外场观测数据进行了比较实验。实验结果表明,粒子滤波方法可以准确估计差分传播相移,使滤波处理后的数据具有更好的连续性、平滑性和准确性,通过将估计后的数据应用于衰减订正进一步验证了该方法的有效性。 |
关键词: 双偏振雷达 衰减订正 差分传播相移 粒子滤波 |
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基金项目:国家自然科学基金(No.61471365, U1633106, 61231017); 中国民航大学蓝天青年学者培养经费;中央高校基本科研业务费(No.2000300446) |
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Estimation of Differential Propagation Phase Shift for Dual-Polarization Radar Based on Particle Filter |
李海,崔爱璐,章涛,吴仁彪
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(Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China)
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Abstract: |
Aiming at the problem that differential phase shift and the specific differential propagation phase shift are susceptible to various noises and other attenuated polarization parameters, a particle filter method is proposed to estimate the differential propagation phase shift. In this method, firstly, the state and observation model is established by use of the relationship of polarization parameters. Then the model is applied to the particle filter in order to estimate the differential propagation phase shift and specific differential propagation phase shift simultaneously. The comparative experiment were made between the proposed method and the moving average, iterative filter and Kalman filter using the data collected by an X-band dual-polarization Doppler radar X-SAPR. The experimental results show that the particle filter can accurately estimate the differential propagation phase shift and improve the continuity, smoothness and accuracy of the filtered data. The effectiveness of the method is further verified by applying the estimated data to the attenuation correction. |
Key words: dual-polarization radar attenuation correction differential propagation phase shift particle filter |