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由于进动锥体目标参数存在耦合,单部雷达不易获取同时参数估计误差较大。针对这一问题,提出了一种联合多部雷达不同视角微动信息进行参数提取与融合的新方法。首先,对进动目标进行了建模和散射点距离像分析,并利用Hough变换实现了锥顶散射点的关联。然后,联立2部雷达的微动信息作为求解单元来对耦合参数进行解耦,求出相应的参数。同时以进动角为例进行了误差方差分析,以融合后误差方差最小为原则对权系数进行了求解,并对其余参数进行了相同的处理。最后,在一个进动周期内,根据求出的锥体顶点坐标和锥旋轴矢量实现了锥体目标空间位置的重构。仿真结果表明该融合方法能够提高参数精度并能对锥体空间位置进行重构。
Due to the coupling of target parameters of precession cone, the single radar is not easy to acquire and the error of parameter estimation is large. Aiming at this problem, a new method of parameter extraction and fusion based on micro-information of different perspectives of multiple radars is proposed. First, the precession target was modeled and the scatter point distance image was analyzed. The Hough transform was used to realize the correlation of the cone top scattering point. Then, the micro-information of the two simultaneous radars is used as the solution unit to decouple the coupling parameters and obtain the corresponding parameters. At the same time, taking the precession angle as an example, the error variance analysis was carried out. The weight coefficient was solved by the principle of minimizing the variance after fusion, and the rest of the parameters were treated in the same way. Finally, during a precession period, the reconstruction of the spatial position of the cone target is achieved based on the obtained cone vertex coordinates and cone rotation axis vectors. The simulation results show that the fusion method can improve the accuracy of the parameters and reconstruct the pyramidal spatial position.