基于互信息的多传感器最优布设方法研究

Research on Optimal Placement of Multi-Sensor Based on Mutual Information

在目标跟踪系统中,一个核心的问题是如何根据传感器的量测数据准确估计目标的运动状态。传统的滤波估计算法仅是对量测数据的优化处理,但量测数据才是决定目标跟踪系统性能的基础。量测数据的优劣不仅取决于传感器的性能,也取决于传感器与目标的相对位置。本文针对纯方位量测传感器,以互信息为效能函数,推导了一个基于互信息最大化的多传感器最优布设方法,有效提高了目标估计的精度,并通过仿真证明了理论分析的正确性。

In the target tracking system,a core problem is how to accurately estimate the state of moving target based on sensor measurements.The traditional filtering estimation algorithm is just a reprocessing of measurements,which is the base of target tracking system.Measurements not only depend on the performance of the sensor,also depend on the relative position between multi-sensor and target.In this paper,an optimal placement of multi-sensor based on mutual information is deduced,which improves the precision of target tracking system.Simulations have verified our theoretical results.