基于分布式两坐标雷达网络的目标三维跟踪算法

针对目前的航空管理和作战指挥系统的需求，该文提出一种基于分布式两坐标(2D)雷达网络的目标3维跟踪算法。首先，该文从集中式框架下融合中心的广义量测方程出发，推导了融合中心的更新方程。而后，将更新方程中的量测用各部雷达的局部跟踪信息来代替，并由此得出目标3维状态的估计。从推导过程可知，该文所提算法是量测扩维的集中式融合算法通过矩阵变换直接得到的，只是变换过程中对单雷达跟踪模型进行了近似，因此是次优的。最后，蒙特卡罗仿真实验表明，该算法收敛速度很快，且跟踪精度很高，可以满足实际需求。

A 3D Target Tracking Algorithm in Distributed 2D Radar Network

In order to satisfy the requirement of the air traffic control and the battle-filed command system, a three-dimensional (3D) tracking algorithm in distributed two-dimensional (2D) radar network is proposed. Firstly, this paper starts from the generalized measurement equation at the fusion center under the centralized framework, and derives the update equation. Then, the target 3D state is estimated by substituting the measurement term in the update equation with each local radar tracking information. Judging from the derivation, the proposed algorithm is obtained by centralized fusion method with measurement expansion and matrix transformation directly, and it is a suboptimal algorithm due to the approximation of the tracking model of single radar. Finally, Monte Carlo simulations show that the proposed method has fast convergence speed and achieves good tracking accuracy, thus it can meet the need of the real application.