多站虚拟量测变换均值无源定位算法

Multi-Sensor ME Passive Localization Algorithm Based on Virtual Measurement Transform

在多站无源均值定位算法中,为了解决部分传感器间夹角过大或过小所导致的定位精度下降问题,提出一种基于虚拟量测变换的多传感器管理无源定位算法。首先在全局坐标系下分析了传感器间夹角对误差几何稀释度(GDOP)的影响,进而得到双站获得较好定位精度的夹角约束关系;其次针对不满足该约束关系的传感器组合提出一种虚拟量测变换定位算法,通过空间管理的方法达到对传感器的优化布站,并结合算法的实施步骤对其原理及特点进行了理论分析,尤其对变换前后的交点精度进行了比较。仿真结果表明虚拟量测算法的定位精度要明显优于均值算法,进而说明该算法的有效性及传感器管理在多站无源定位中的重要作用。

A multi-sensor management passive localization algorithm based on virtual measure- ment transform （VMT） is presented to solve the localization precision descending problem in mean estimation（ME） algorithm when the cut angles between partial sensor pairs are too small or big in a multi-sensor system. The effect of cut angle on the geometric dilution of precision （GDOP） is firstly analyzed in global coordinate system, and the cut angle restriction relation- ship is obtained, from which the better localization precision of dual-sensor system can be achieved. Then, the VMT localization algorithm is presented when certain sensor pairs do not satisfy the above restriction relationship, which can deploy sensor in an optimal way by means of sensor space management. The principle and characteristics of the algorithm are analyzed, especially the intersection precision after and before transform are compared with the perspec- tive of GDOP. Simulation results indicate that the performance of VMT algorithm excels that of ME algorithm. It verifies the effectiveness of the algorithm and the important role of sensor management in multi-sensor passive localization.