School of Aerospace Engineering, Tsinghua University, Beijing 100084, China.
Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.
Sensors (Basel). 2019 Mar 29;19(7):1541. doi: 10.3390/s19071541.
This paper focuses on passive emitter localization using moving sensors. The increase in observation time is beneficial to improve the localization accuracy, but it could cause deterioration of the relative motion between the emitter and the sensors, especially the nonlinear motion. The common localization algorithms typically have two steps: (1) parameter estimation and (2) position determination, where the parameters are assumed to be constant, and it is not applicable for long observation times. We proposed the time-varying delay-based direct position determination (DPD-TVD) method, regarding the variation in the propagation time delay during the observation time. Using one step, the proposed algorithm can obtain the emitter's position directly from the received signals by calculating the cost function corresponding to the map grid. By better adapting to highly dynamic scenarios, the proposed algorithm can achieve better localization accuracy than that of constant parameters using one-step or two-step procedures, which is demonstrated by the simulation results.
本文专注于使用移动传感器进行被动辐射源定位。增加观测时间有助于提高定位精度，但可能会导致辐射源与传感器之间的相对运动（尤其是非线性运动）恶化。常见的定位算法通常包括两个步骤：（1）参数估计和（2）位置确定，其中假设参数是恒定的，不适用于长时间观测。我们提出了基于时变时延的直接定位（DPD-TVD）方法，该方法考虑了观测时间内传播时延的变化。通过一步计算，该算法可以通过计算对应于地图网格的代价函数，直接从接收到的信号中获得辐射源的位置。通过更好地适应高度动态的场景，与一步或两步程序的恒定参数相比，该算法可以实现更好的定位精度，这通过仿真结果得到了证明。
