针对多雷达组网噪声化探测点迹融合定位问题,提出使用拟牛顿融合定位算法,利用变尺度(DFP)拟牛顿非线性方 程求解原理,综合各组网雷达的探测误差特性,从最优化角度,研究解决了空域目标位置真值的快速数值近似计算问题。 仿真结果表明:对比传统的方位精度加权算法、加权最小二乘迭代算法,文中提出的拟牛顿融合定位算法,定位精度高;即 使与各组网雷达误差最小值进行严苛条件对比,拟牛顿融合定位算法精度也明显占有优势。

For the fusion location problem of the noised detection plots of the multi-networking radars, the proposed fusion location algorithm based on the quasi-newton algorithm, takes advantage of the solution theory of the nonlinear equations by DFP quasi-newton algorithm, considers the detection error characteristic of the multi-radar, from the point of view of optimization, settles the problem of the quick approximation computation of the actual position of the airspace target with numeric calculation. The simulations demonstrate that the positioning accuracy of the proposed algorithm is better than the conventional weighted algorithm of the bearing accuracy and the weighted least squares algorithm. Compared with the minimized one of the detection errors of the networking radars, the proposed algorithm, is obviously predominant.

安徽省自然科学基金资助项目