Wireless propagation model based on Taylor expansion

A wireless propagation model and propagation model technology, applied in the field of indoor positioning, can solve problems such as large errors, time-consuming and labor-intensive, and achieve the effect of improving accuracy and good adaptability

Pending Publication Date: 2020-07-14
UNIV OF ELECTRONIC SCI & TECH OF CHINA +1
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Problems solved by technology

[0006] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art, to provide a wireless propagation model based on Taylor expansion, to solve the problem that the t

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[0039] The following describes the specific embodiments of the present invention to facilitate those skilled in the art to understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments, for those of ordinary skill in the art, as long as various changes These changes are obvious within the spirit and scope of the present invention defined and determined by the appended claims, and all inventions and creations that utilize the concept of the present invention are protected.

[0040] According to an embodiment of the present application, the wireless propagation model based on Taylor expansion of this solution includes:

[0041] S1, according to the relationship between the signal strength of the propagation model and the propagation distance d, construct a matching function of PL(d) and the propagation distance d, where PL is a function of power with respect to the propagation distance d;

[0042] S2. Calculate

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Abstract

The invention discloses a wireless propagation model based on Taylor expansion. The implementation method of the model comprises: S1, constructing a matching function of PL(d) and a propagation distance d according to a relationship between propagation model signal intensity and the propagation distance d, the PL being a function of power about the propagation distance d; S2, calculating an inverse function g(RSSI) of a matching function of the PL(d) and the propagation distance d in a range omega[RSSI<min>, RSSI<max>]; and S3, adopting Taylor expansion to expand the inverse function g(RSSI) to obtain a ranging function. The method is derived based on common derivation of a traditional model, has good adaptability to different environments; and compared with a traditional logarithm model,the propagation model is suitable for most wireless signal propagation scenes, and can improve the precision of the wireless propagation model to a great extent.

Description

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Claims

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Application Information

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Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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