Processing method for reducing channel error based on antenna data time domain fitting

Abstract

The invention provides a processing method for reducing a channel error based on antenna data time domain fitting. The method comprises the following steps: acquiring multiple rounds of antenna signal data in a preset time period; amplitude and phase complementation is carried out on the multi-round antenna signal data in the time domain, and alignment is carried out; the complemented and aligned antenna signal data are converted into a preset representation form, the representation form comprises channel errors and other factors influencing antenna receiving data, logarithms of the converted antenna signal data are taken, and an amplitude linear equation set and a phase linear equation set corresponding to the converted antenna signal data are obtained respectively; and calculating an estimated value of a channel error through a least square method according to the amplitude and phase linear equation set, and compensating antenna signal data through the estimated value of the channel error. According to the method, the antenna data is subjected to compensation type post-processing through the calculated estimated value of the channel error, so that the error caused by channel change can be reduced, and the accuracy of wireless direction finding is improved.

Description

technical field [0001] The present application relates to the technical field of wireless direction finding, and in particular to a processing method for reducing channel errors based on time-domain fitting of antenna data. Background technique [0002] At present, determining the orientation through wireless direction finding has been widely used in various fields. When performing wireless direction finding, in related technologies, in order to reduce the influence of noise, multiple samplings are usually performed continuously, and the signal-to-noise ratio is improved by statistical average, thereby improving the accuracy of direction finding. [0003] However, in actual application scenarios, the test equipment and objects in the environment are often not in a relatively static state, resulting in channel changes all the time. Therefore, in the wireless direction finding method in the above technology, while reducing the random noise through multiple sampling averages, ...

AI Technical Summary

Problems solved by technology

However, in practical applications, it is difficult for test equipment to sample at a frequency that meets this requirement, especially for equipment that uses a dual-channel receiver to alternately receive multiple antennas, and it often takes tens of milliseconds to receive a group of antennas in turn.

When the length of a sampling period is extended to the order of 100 ms, although it is assumed that the channel is stable, a better estimation result can still be obtained, but the channel has already changed significantly, causing the estimation result to deviate

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