Three-dimensional millimeter wave beam tracking method based on particle filtering

Abstract

The invention discloses a three-dimensional millimeter wave beam tracking method based on particle filtering. The method comprises the following steps: 1, establishing a communication channel model of a three-dimensional millimeter wave transmitting end and a three-dimensional millimeter wave receiving end; 2, initializing a beam tracking condition based on particle filtering to obtain an initial particle set; 3, calculating importance weights of particles in the particle set; 4, performing state estimation based on the particle set and the importance weight, and outputting a particle filtering prediction result; and 5, resampling the particles in the particle set, resetting the importance weight, and returning to the step 3 until the precision requirement is met. Beam tracking precision is improved, the adaptability is high, the method not only has excellent performance in a single millimeter wave communication path environment, but also is higher in precision, more stable and smaller in error fluctuation compared with an existing algorithm under the multi-path condition.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a particle filter-based three-dimensional millimeter wave beam tracking method. Background technique [0002] With the advancement of information technology, various new devices represented by smartphones, smart bracelets, smart homes, and VR devices continue to emerge; The new application scenarios represented by the technology are constantly emerging, which have caused a huge burden on the existing communication network, requiring researchers to introduce a new generation of communication standards to meet people's growing communication needs. [0003] As a next-generation communication standard, 5G requires a dramatic improvement in speed and functionality to meet user expectations. However, increased data speeds require the provision of greater bandwidth. The frequency bands used before 5G are concentrated below 6 GHz. After decades of development...

AI Technical Summary

Problems solved by technology

[0004] However, 5G communication based on millimeter waves faces a series of problems: due to the high frequency, the diffraction ability of millimeter waves is poor, and the penetrating power is weak, resulting in a large path loss during the propagation of millimeter waves, especially in In severe weather such as rain and snow, the transmission distance is severely limited

However, the numerical stability of the unscented Kalman filter is poor. As the state dimension increases, the filtering accuracy will drop significantly.

In addition, the extended Kalman filter and the unscented Kalman filter have poor adaptability to beam tracking under multipath, and multipath will lead to a decrease in the tracking performance of the algorithm

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