Finding sensor trajectories for TDOA based localization — Preliminary considerations

R. Kaune
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引用次数: 8

Abstract

Time Difference of Arrival (TDOA) measurements are gained in a network of sensors where a minimum of two sensors is required. Sensors receive the signal of an emitting target and determine the Time of Arrival (TOA) of the signal. Calculating the difference between pairs of TOAs yields TDOA measurements which describe hyperbolae or hyperboloids as possible target locations. The Cramer Rao Lower bound (CRLB) gives the optimal attainable localization accuracy based on a measurement sequence. It depends on the measurement function which reflects the sensors-emitter geometry, the measurement error and the number of measurements. The CRLB can be used to find future trajectories for moving sensors. In this paper, a sensor pair consisting of a moving and a stationary sensor is investigated which takes TDOA measurements of a stationary emitting target. The future trajectory of the moving sensor is determined based on target localization performance.
寻找基于TDOA定位的传感器轨迹-初步考虑
到达时间差(TDOA)测量是在一个传感器网络中获得的,其中至少需要两个传感器。传感器接收发射目标的信号并确定信号的到达时间(TOA)。计算toa对之间的差值产生描述双曲线或双曲面作为可能目标位置的TDOA测量值。Cramer Rao下界(CRLB)给出了基于测量序列的可实现的最佳定位精度。它取决于反映传感器-发射器几何形状、测量误差和测量次数的测量函数。CRLB可用于寻找移动传感器的未来轨迹。本文研究了一种由运动传感器和静止传感器组成的传感器对,用于测量静止发射目标的TDOA。运动传感器的未来轨迹是根据目标定位性能来确定的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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