A high-precision pulse 60GHz wireless fingerprint positioning method based on energy detection

Abstract

The present invention provides a high-precision pulse 60GHz wireless fingerprint positioning method based on energy detection. The method comprises: 1) obtaining a joint parameter J consisting of the skewness, the kurtosis, the greatest gradient and the standard deviation of signals and the optimal normalization threshold required by the TOA estimation; 2) building a fingerprint database between the J and the optimal normalization threshold; 3) estimating the optimal threshold according to the joint parameter J through adoption of the fingerprint database; 4) performing TOA estimation, taking the intermediate value of an energy block first exceeding the threshold as the estimation value of the TOA, and then calculating a distance; and 5) performing 60GHz wireless positioning, and performing the wireless positioning based on the 60GHz millimeter wave signals through adoption of a traditional positioning algorithm according to the obtained TOA estimation value. The result shows that, in the IEEE 802.15.3c channel model, whatever a range of visibility or a range of sight visibility, the high-precision pulse 60GHz wireless fingerprint positioning method based on energy detection has higher precision and better robustness than other algorithms based on energy detection in the range with a large signal-to-noise ratio.

Description

technical field [0001] The invention belongs to the technical field of wireless positioning, in particular to a high-precision pulse 60GHz 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 a continuous fr...

AI Technical Summary

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 K. Although the complexity of this algorithm is reduced, these algorithms and the joint TOA fingerprint estimation algorithm based on skewness S, kurtosis K, maximum slope MS and standard deviation SD proposed in the present invention In comparison, there is a big gap in terms of accuracy and stability, especially in multipath and NLOS environments.

Images