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VLC-based indoor positioning algorithm combined with OFDM and particle filter

机译:结合OFDM和粒子滤波的基于VLC的室内定位算法

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摘要

Visible light communications (VLC) have recently attracted a growing interest and can be a potential solution to realize indoor positioning, however, the performance of existing indoor positioning system is limited by multipath distortion inside a room. In order to combat the effect of multipath distortion, this paper proposes an LED-based indoor positioning algorithm combined with hybrid OFDM (HOFDM), in which asymmetrically clipped optical OFDM (ACO-OFDM) is transmitted on the odd subcarriers while using pulse amplitude modulated discrete multitone (PAM-DMT) to modulate the imaginary part of each even subcarrier. In this scheme, we take a combined approach where a received-signal-strength (RSS) technique is employed to determine the location of the receiver and realize the 3-D positioning by Trust-region-based positioning. Moreover, a particle filter is used to further improve the positioning accuracy. Results confirm that this proposed positioning algorithm can achieve high accuracy even with multipath distortion, and the algorithm has better performance when combined with particle filter.
机译:可见光通信(VLC)最近吸引了越来越多的兴趣,并且可能成为实现室内定位的潜在解决方案,但是,现有室内定位系统的性能受到室内多路径失真的限制。为了克服多径畸变的影响,提出了一种基于LED的室内定位算法,并结合了混合OFDM(HOFDM)技术,该技术在不对称限幅的光OFDM(ACO-OFDM)传输奇数子载波的同时使用脉冲幅度调制离散多音(PAM-DMT)来调制每个偶数子载波的虚部。在此方案中,我们采用一种组合方法,其中采用接收信号强度(RSS)技术来确定接收器的位置并通过基于信任区域的定位来实现3-D定位。此外,使用粒子过滤器来进一步提高定位精度。实验结果表明,该算法即使在多径畸变的情况下也能达到较高的精度,并且与粒子滤波结合使用时具有更好的性能。

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