中文摘要：

对固定辐射源的快速高精度定位是机载无源定位系统的重要任务之一,而双/多机测角频差定位体制是实现该任务的一种新途径。针对该定位体制,提出了一种快速有效的定位解算方法,解决了单次观测条件下的定位问题。该方法首先基于各机测得的方位角、俯仰角,采用伪线性法粗略估计辐射源位置;然后以此为初始值,采用高斯-牛顿迭代法,综合利用频差、方位角及俯仰角信息,精确估计辐射源位置。在单次观测定位的基础上,引入了批处理加权最小二乘融合算法及序贯加权最小二乘融合算法,实现了多次观测定位结果的有效融合。最后,进行了计算机仿真,结果表明：本文给出的单次定位解算方法及多次定位融合算法具有良好的性能,当观测误差不太大且服从高斯分布时,它们对应的辐射源位置估计精度能够很好地逼近克拉美罗限。

英文摘要：

The precise localization of the fixed emitters is one of the important tasks of the airborne passive location system.The hybrid direction of arrival（DOA） and frequency difference of arrival（FDOA） passive location using dual or multiple aircrafts is a new approach to realize the precise localization of the fixed emitters.Aiming at this kind of new location system,an effective and computationally efficient estimation method is proposed under the condition of single observation.The method firstly coarsely estimates the emitter＇ s position based on the azimuth angles and pitching angles using the pseudolinear transformation.And then taking the coarse estimate of the emitter＇ s position as the initial value,the Gauss-Newton iterative process is established to obtain the finer estimate of the emitter＇ s position jointly utilizing the FDOA,azimuth angles and pitching angles regarding the emitter.Based on the localization results of multiple observations,the weighted least square batch method and the weighted least square serial method are introduced to fuse these localization results according to different real time requirements.Finally,the simulation results validate the effectiveness of the localization method for single observation and fusion method for multiple observations.The estimated accuracy of the emitter＇s position approaches the Cramer Rao Lower Bound（CRLB） for Gaussian measurement error at the moderate error level.