Channel parameter determining method and device

Abstract

The invention discloses a channel parameter determining method and a channel parameter determining device. The method comprises the following steps of: determining time delay tau, power P, angle of arrival (AOA) and angle of departure (AOD) of each radius of a channel, and presetting a number threshold value, a time delay threshold value range and an angle threshold value range of a light of sight (LOS) radius; when the number of the radii of the channel is not smaller than the number threshold value, selecting alternative LOS radii, the time delay tau of which is in the time delay threshold value range and the AOA and the AOD of which are in the angle threshold value range; and traversing and searching each alternative LOS radius according to the preset search angle range delta theta, calculating the power sums of the alternative LOS radii in the corresponding search angle range during searching every time, selecting the maximum power sum from all the calculated power sums, dividing the power sum of all the radii beyond the corresponding angle range corresponding to the maximum power sum by the maximum power sum, and determining the obtained value as the value of a Reiss factor K. The method and the device can improve the accuracy of channel parameters.

Description

technical field [0001] The present invention relates to the technical field of wireless channels, in particular to a method and device for determining channel parameters. Background technique [0002] Researching the propagation characteristics of wireless channels is the basic part of building mobile wireless communication systems. Before any wireless communication system is studied, adopted and applied, it should first make a detailed analysis of the characteristic parameters of the wireless channel and establish a reasonable channel model. [0003] It can be seen that determining the channel parameters of the wireless channel plays a vital role in the establishment of the channel model and the research of the wireless communication system. Among them, typical channel parameters are, for example, delay spread (DS), angle of arrival spread (ASA), angle of departure spread (ASD), shadow fading (SF), Rice factor (K) and the like. In addition, studies at home and abroad have...

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Problems solved by technology

[0017] However, the above two methods still have their own shortcomings, specifically: the space-first method needs to calculate the distance in real time when calculating the autocorrelation and perform a sort search of the distance, which will cause a lot of repeated calculations when the number of measurement points is huge , so while satisfying the optimal space, the cost of time complexity is very high; in the time-first method, the typical value of the number of measurement points for each channel is about 100,000, and it is necessary to sort such a large amount of data The ability of the existing computer is a huge challenge. Moreover, floating point numbers are currently used to store the sampling values ​​of the position information of each measurement point. When the value of the sampling points is about 100,000, the required storage space is on the order of 50Gbytes, and the required storage space Very big

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