一种双基高频地波雷达加权融合选频方法

A Weighted Fusion Frequency Selection Method of Bistatic High Frequency Surface Wave Radar

T/R-R双基高频地波雷达相距较远及波束指向不同使得工作环境有较大差异,传统的选频方法很难使双基地雷达同时处在最佳工作状态,这严重影响雷达探测性能及目标检测。基于上述问题,采用基于卡尔曼滤波的加权融合算法将T/R-R双基高频地波雷达的电磁环境频谱信息进行融合,通过平均功率和方差联合最小的选频准则选出工作频段,并根据目标最大信噪比准则进行评估,从而寻找效果最好的工作频率;此外利用频谱预测方法来保证雷达能实时适应外部电磁环境变化,以此来提高雷达适应恶劣电磁环境的能力。

pointing directions make its work environment have big difference. The traditional frequency selection method is very hard to make bistatic radar work in the best state at the same time. This seriously affects detection performance of the radar and target detection. For the above problems, this paper adopts weighted fusion algorithm based on Kalman filter which can fuse the spectrum information of T/R-R bistatic radar in the electromagnetic environment, and selects the operating frequency hand by average power and variance combination minimum. Then the selected frequency band is evaluated to find the best operating frequency based on maximum signal-to-noise ratio criterion of the target. Furthermore, we use spectrum prediction method to make the radar adapt to the variety of external electromagnetic environment in real time, so as to improve the ability of the radar to adapt to the harsh electromagnetic environment.