60GHz non-line-of-sight identification and wireless fingerprint location method based on energy detection

Abstract

The invention provides a 60GHz millimeter wave non-line of sight (NLOS) identification and fingerprint positioning method based on energy detection. The method comprises the following steps: 1) figuring out a joint parameter J composed of a skewness, a kurtosis and a maximum rotation of a signal and an optimal normalized threshold; 2) establishing a fingerprint database of J and the optimal normalized threshold; 3) estimating an optimal threshold through the fingerprint database according to J; 4) carrying out NLOS identification by the maximum rotation; 4) carrying out TOA estimation to calculate a distance; 6) carrying out 60GHz wireless positioning: carrying out the wireless positioning based on a 60GHz signal by a traditional positioning algorithms according to an NLOS identification result and a TOA estimated value. The result indicates that the NLOS identification success rate is much higher than that of the same type of NLOS identification algorithms; and 2) no master in an LOS environment or an NLOS environment, within a very large signal to noise ratio range, the method provides higher precision and better robustness than other methods based on the energy detection.

Description

technical field [0001] The invention belongs to the technical field of wireless positioning, in particular to a 60GHz non-line-of-sight identification and wireless fingerprint positioning method based on energy detection. Background technique [0002] Pulse 60GHz wireless communication technology is a wireless communication technology that uses hundreds of picoseconds or shorter discontinuous pulses for communication without carrier. Compared with the current existing communication systems, 60GHz wireless communication technology has the advantages of high spectrum reusability, strong anti-interference ability, wide available spectrum, large transmission power, large system capacity, high time resolution and multipath resolution. One of the main reasons for widespread attention to 60GHz technology in recent years is because of the huge license-free bandwidth. Compared with the ultra-wideband technology that also uses the license-free frequency band, the 60GHz technology has...

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Problems solved by technology

Therefore, the problem becomes how to set an appropriate normalization threshold according to the fingerprint characteristics of the signal. The simplest method in the threshold method is the fixed normalization threshold method, in which the normalization threshold is a fixed value. In practical applications, the normalization threshold is always changing in different environments, so it cannot satisfy a wide range of applications.

Next is the normalized threshold method based on kurtosis K, although the complexity of this algorithm is reduced, these algorithms are compared with the joint TOA fingerprint estimation algorithm based on gradient, standard deviation and skewness proposed in the present invention, no matter in accuracy There is still a big gap in terms of stability, especially in multipath and non-line-of-sight environments.

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