多传感器数据关联在目标识别中的应用

Application of Multi-Sensor Data on Target Recognition

区别于传统的数据关联算法,在多时刻多传感器条件下应用D-S证据理论组合规则对探测样本的基本概率赋值进行关联,通过关联度对目标进行识别。仿真结果表明,多时刻多传感器相对于单一时刻单传感器对目标的关联度高,因此该方法在目标识别领域具有较高的应用价值。

Different from the traditional data association algorithm, this paper applies D-S evidence theory combination regulation to associate the basic probability evaluation of the detection sample under the condition of multi-time and multi-sensor ,and recognize the target by association degree. The simulation result shows that multi-time and multi-sensor have high association degree in the relation to the single-time and single-sensor,so the method has high practice value in the field of target recognition.