基于分布式无人机监测的干扰源直接定位

Direct location of interference sources based on distributed UAV monitoring

摘要:

目前大部分直接定位方法主要针对窄带信号，为此提出了一种基于分布式无人机 (UAV)平台的宽\窄带信号直接定位(DPD)方法。首先在频域对多个无人机平台的接收数据进行合成，基于多个频点建立和信源位置直接相关的代价函数；然后，将监测区域进行网格化处理得到目标信源的位置；最后，多无人机移动监测，并不断缩小监测区域，对多次定位结果聚类分析，得到最终定位结果。通过仿真验证，本方法的定位性能明显优于传统的定位方法。同时实测数据的处理结果表明，本文所提方法定位性能优于改进的到达时间差(TDOA)定位方法。

Abstract:

Most of the current direct positioning methods are mainly for narrow-band signals. A wide/narrow band signal Direct Position Determination(DPD) method based on distributed Unmanned Aerial Vehicle(UAV) platform is proposed. Firstly, the received data of multi-UAV platforms are synthesized in frequency domain, and a cost function directly related to the source location is established based on multiple frequency points. Secondly, the monitoring area is gridded to determine the location of the target source. Finally, the multi-UAV movement monitoring is carried out, and the monitoring area is continuously reduced. The final positioning result is obtained by clustering analysis of multiple positioning results. Simulation results show that the localization performance of this method is obviously better than that of traditional localization methods. The processing results of the measured data show that the proposed method has better positioning performance than the improved Time Difference of Arrival(TDOA) positioning method.