Cramer-Rao lower bounds for multi-sensor localization

J. Fawcett, B. Maranda
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引用次数: 1

Abstract

The Cramer-Rao lower bound is used to assess the potential localization accuracy of multiple arrays observing a narrowband moving target. The narrowband signal received by the array is assumed to have only partial temporal coherence, which is modelled by taking the signal to be completely coherent over a data block but with an unknown absolute phase from block to block. The signal may also have unknown phase differences between different sets of sensors. Including these unknown phases in the model enables to account for the spatial incoherence of the signal between arrays. Examples of the localization accuracy possible for multi-array or multi-sensor systems as a function of target position are given.<>
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多传感器定位的Cramer-Rao下界
利用Cramer-Rao下界来评估多阵列观测窄带运动目标时的潜在定位精度。阵列接收到的窄带信号假定只有部分时间相干,其建模方法是将信号在数据块上完全相干,但在块到块之间具有未知的绝对相位。不同的传感器组之间的信号也可能有未知的相位差。在模型中包括这些未知相位可以解释阵列之间信号的空间不相干性。给出了多阵列或多传感器系统定位精度随目标位置变化的例子。
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