超宽带室内定位算法

为了解决室内密集多径环境下人员定位精度差这一问题，设计并实现了一种基于脉冲超宽带与能量检测接收机的信号到达时间估计算法。根据在IEEE802.12.4a标准室内家居环境下得到的超宽带信号，深入分析了信号的偏度、翘度与均方差特性。根据信号特性与信噪比之间的关系，算法能够实现高精度的信号传播时间估计。该算法充分考虑了积分周期与信号传播环境如视距与非视距对信号传播时间造成的影响。通过实验分析对比，该算法对信号传播时间估计具有更好的鲁棒性，目标运动速度和形变具有很好的鲁棒性，能够提供更高的精度。相较于阈值估计算法，该算法在低信噪比环境下最优能够提高10 ns的估计精度。

An indoor localization algorithm based on ultra-wide band

Aiming at the problem that the traditional methods cannot achieve the personnel orientation accurately due to the complex multipath propagation indoors,a time of arrival(TOA) estimation method is developed using the impulse ultra-wide band(UWB) based on the energy detection(ED) receiver.The standard deviation,kurtosis,and skewness of the received pulses under IEEE802.15.4a models are analyzed,which are used to acquire TOA estimations accurately based on the relationship between the signal-to-noise ratio(SNR) and the statistics.The effects of the channel and integration period are evaluated.Performance results are presented which show that the proposed approach provides higher accuracy and is more robust than other solutions.This algorithm can increase the accuracy with the value 10 ns at most compared with traditional algorithms.