基于改进滤波算法的ADS-B航空目标监视雷达信道优化

ADS-B Aerial Target Monitoring Radar Channel Optimization Based on Improved Filtering Algorithm

广播式自动相关监视(ADS-B)技术作为一种被广泛应用的航空监视技术,本身极其容易受到同频与外部噪声环境的影响。文中将从ADS-B中的监视算法入手,对其雷达信道进行优化改进。在研究过程中,主要通过正向和反向插值滤波算法对卡尔曼滤波算法进行改进,以达到提高雷达精度的目的。然后通过实验的方式对这种改进措施进行验证。验证结果表明,改进后的算法性能提升了30%左右。而实际的应用结果也表明,改进算法后的雷达监视技术在抗干扰方面的性能也获得了较大的提升,两种实验结果表明该文的改进措施有效。

ADS-B technology,as a widely used aviation monitoring technology,is extremely vulnerable to the influence of the same frequency and external noise environment.In the course of research,this paper mainly improves Kalman filtering algorithm through positive and reverse interpolation filtering algorithms,so as to improve radar accuracy.This improvement is then validated by experiment.The results show that the performance of the improved algorithm is improved by about 30%.The actual application results also show that the performance of radar surveillance technology in anti-jamming has also been greatly improved after the improvement of the algorithm,and the results of the two experiments show that the improvement measures are effective.