A ranging enhancement method based on multi-band received signal strength

Abstract

The invention discloses a ranging enhancement method based on the received signal strength of multiple frequency bands. Firstly, a transmitting node and a target node are arranged, and for selected N specific frequency bands, a radio frequency receiver is used to measure the channel, and the received signal on each frequency band is collected. power, and record the transmitter-receiver real distance, and construct the sample sets under the visual distance scene and the non-visual distance scene respectively; respectively estimate the path loss index of each sub-band in the corresponding scene for the sample set, and calculate N The covariance matrix of the shadow fading effect obtained on the two frequency bands; the distance between the estimated transmitter and the receiver, the present invention considers the influence of the frequency factor on the path loss index, utilizes multi-band ranging, and adopts the path loss related to the frequency Index, combined with the covariance matrix of shadow fading in multiple frequency bands, estimates the distance between the target and the transmitter, reduces the problem of accuracy degradation caused by model mismatch, overcomes the shortcomings of large changes in received power, and improves ranging accuracy.

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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