舰船电子对抗

针对基于到达角度(AOA)的多站无源定位场景中观测站在不同空域内测角精度的非均匀性，提出一种基于加权最小二乘的多站无源定位方法，通过“差异化权重”来减弱高方差测向值造成的影响，进而提高定位精度。与此同时，为了减少加权最小二乘解算过程中因线性化而导致的精度损失，将粒子滤波这一近似最优的非线性滤波方法引入到无源定位解算当中，通过“预测—更新—重采样”的循环来实现实时估计。仿真结果表明，该方法能够进一步提升解算精度与解算稳定性，在实际应用场景里拥有更强的可靠性和优越性。

In view of the non-uniformity of angle measurement accuracy of observation stations in different airspaces in the scenario of multi-station passive positioning based on angle of arrival(AOA),a multi-station passive positioning method based on weighted least squares is proposed.This method weakens the impact caused by high-variance direction-finding values through “differentiated weights”,thereby the positioning accuracy is improved.Meanwhile, to reduce the accuracy loss caused by linearization in the weighted least squares solution process, particle filtering, an approximately optimal nonlinear filtering method, is introduced into passive positioning solution.Real-time estimation is achieved through the cycle of “prediction-update-resampling”.Simulation results show that this method can further improve the solution accuracy and stability, and has stronger reliability and superiority in practical application scenarios.