三站交叉定位虚假点消除算法研究

针对无源测向交叉定位在多目标辐射源的情况下存在的虚假点问题，提出了一种改进的三站交叉定位虚假点消除算法。首先求出两站测向交叉点，然后根据第三站测量信息进行关联匹配检测，确定正确关联。仿真结果表明，该方法不仅数据关联正确率优于直接采用三个测向站测量数据进行关联的方法，而且计算量明显减少，能够快速、有效消除虚假点。

Reaearch into The Algorithm of False Points Elimination in Three-station Cross Location

Aiming at the problem that the passive direction finding cross location will generate false points under the condition of multi-target emitter, this paper puts forward an improved algorithm to eliminate false points by three-station cross location. Firstly,this paper calculates out the cross point of two-station direction finding, then detects the association matching to determine the right association according to the measurement result of the third station. The simulative result shows that the accuracy rate of the method is superior than the method that directly using three stations to measure data for association, and the calculation quantity decreases obviously, can eliminate the false points fast and effectively.