Ranging enhancement method based on multi-band received signal strength

Abstract

The invention discloses a ranging enhancement method based on multi-band received signal strength. The method comprises the following steps: firstly, arranging a transmitting node and a target node, measuring a channel by using a radio frequency receiver for selected N specific frequency bands, collecting receiving power on each frequency band, recording the real distance between a transmitter andthe receiver, and respectively constructing sample sets in a visual range scene and a non-visual range scene; estimating the path loss index of each sub-band in the corresponding scenes for the sample sets, and calculating a covariance matrix of the shadow fading effects obtained on the N bands; and estimating the distance between the transmitter and the receiver. According to the invention, theinfluence of a frequency factor on a path loss index is considered, the distance between a target and a transmitting end is estimated by utilizing multi-band ranging, adopting a path loss index related to frequency and combining a covariance matrix of multi-band shadow fading, so that the problem of precision reduction caused by model mismatching is reduced, the defect of relatively large receiving power change is overcome, and the ranging precision is improved.

Description

technical field [0001] The invention belongs to the technical field of radio communication, and in particular relates to a distance measurement enhancement method based on multi-band received signal strength. Background technique [0002] Received signal strength-based ranging and positioning technology has received extensive attention in the past few decades due to its low cost, simple operation, and ease of use in the mass market. However, due to many factors such as inaccurate path loss model, large power variation caused by shadowing effect, multipath propagation and noise, the performance of ranging based on RSS is limited. In order to improve the ranging accuracy, a lot of researches have been done. For example, literature [A.Coluccia, A.Fascista.Onthe Hybrid TOA / RSS Range Estimation in Wireless Sensor Networks[J].IEEETransactions on Wireless Communications,2018,17(1):361-370] and literature [J.Zhang, L.Ding, Y.Wang, L.Hu. Measurement-based indoor NLOS TOA / RSS range ...

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Problems solved by technology

For example, literature [A.Coluccia, A.Fascista.Onthe Hybrid TOA / RSS Range Estimation in Wireless Sensor Networks[J].IEEETransactions on Wireless Communications,2018,17(1):361-370] and literature [J.Zhang, L.Ding, Y.Wang, L.Hu. Measurement-based indoor NLOS TOA / RSS range error modeling [J]. Electronics Letters, 2016, 52(2): 165-167] proposed to combine RSS information with other measurement information (such as : Arrival time information), which obviously improves the ranging performance, but there are also disadvantages, such as: increasing the complexity of the algorithm

In traditional ranging applications using RSS, the path loss exponent has a weak frequency correlation with the channel measurement data, which leads to model mismatch

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