基于多站微多普勒融合的弹道目标特征提取

Feature extraction of ballistic targets based on multistatic micro-Doppler fusion

宽、窄带混合组网雷达数据融合处理是弹道中段目标特征提取的重要途径。提出了一种基于宽、窄带雷达混合组网的弹道目标融合提取算法,该算法通过窄带自相关处理,获得锥体弹头的进动周期,并结合非线性最小二乘估计,分别估计出组网雷达中各散射中心的幅相参数。然后根据宽、窄带雷达微多普勒特征的融合特性和关联特性,利用加权平均和散射中心关联相结合的方法,提取出锥体弹头的三维进动特征及结构参数,从而实现宽、窄带混合组网雷达的数据融合。计算机仿真验证了该方法的可行性与有效性。

Data fusion processing of mixed netted radar containing narrowband radar and wideband radar is an important technique in target feature extracting in ballistic midcourse.A method of fusion feature extraction of ballistic targets based on mixed netted radar containing narrowband radar and wideband radar is proposed.The precession period of the conical warhead is obtained by autocorrelation of narrowband signals.Then the amplitude and phase parameters of each scattering center in the netted radar are estimated combined with nonlinear least squares estimation.According to the fusion and correlation characteristics among the micro-Doppler features of wideband radar and narrowband radar,the three-dimensional precession feature and structure parameters of the conical warhead are extracted by weighted average and scattering center correlation.Thus the data fusion of narrowband radar and wideband radar is achieved.Simulation results verify the effectiveness and feasibility of the method.