地面战场侦察传感器系统自定位算法研究

Research on Self-Localization Algorithm for Multi-Sensor Surveillance System on Battlefield

针对战场侦察传感器系统所面临的自定位问题，提出了一种最小包含菱形的传感器网络定位算法。该算法将基站发射功率分成不同的离散等级，然后以各基站能量环带包含的最小菱形质心作为未知节点的坐标。仿真分析表明：该算法比Bounding box算法有更低的定位误差和更高的定位覆盖率。

Aimed at the problem of self-localization faced by the Multi-sensor surveillance system on battlefield, a new localization algorithm that called minimal enclosing rhombus localization algorithm for wireless sensor networks is proposed. This algorithm divides the power transmitted by base stations into different discrete grades, and then the unknown nodes take the centroids of the minimal enclosing rhombus which encircled by the base station energy rings as their geographic positions. The result of simulation and analysis shows that this algorithm has lower localization error and higher coverage rate.