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Doppler Shift Target Localization

机译:多普勒频移目标定位

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摘要

The problem of Doppler-based target position and velocity estimation using a sensor network is outlined. The minimum number of Doppler-shift measurements at distinct generic sensor positions in order to have a finite number of solutions, and later, a unique solution for the unknown target position and velocity are stated analytically. Furthermore we study the same problem, where not only Doppler-shift measurements are collected, but also other types of measurements are available, e.g,. bearing or distance to the target from each of the sensors. Later we study the Cramer-Rao inequality associated with the Doppler-shift measurements to a target in a sensor network, and we use the Cramer-Rao bound to illustrate some results on optimal placements of the sensors when the goal is to estimate the velocity of the target. Some simulation results are presented at the end.
机译:概述了使用传感器网络进行基于多普勒的目标位置和速度估计的问题。为了获得有限数量的解,在不同的通用传感器位置上进行最少的多普勒频移测量,然后解析地给出未知目标位置和速度的唯一解。此外,我们研究了相同的问题,不仅收集了多普勒频移测量,而且还提供了其他类型的测量。每个传感器到目标的方位或距离。后来,我们研究了与对传感器网络中目标的多普勒频移测量相关的Cramer-Rao不等式,并且当目标是估计速度时,我们使用Cramer-Rao边界来说明传感器最佳放置的一些结果。目标。最后给出了一些仿真结果。

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