A wave-type overall machine gain distribution method for a spectrum analyzer

Abstract

The invention discloses a wave-type overall gain allocation method for a spectrum analyzer. The steps are as follows: analyze the gain unit in the radio frequency and intermediate frequency circuits of the spectrum analyzer, analyze the maximum gain that can be allocated by the gain unit, and then analyze the maximum gain that can be allocated according to the maximum gain that can be allocated. Gain sets the gain that needs to be allocated for each gain unit; set the first gain unit according to the gain that needs to be allocated; after setting the gain unit, start the gain data correction analysis for the set gain unit; make a decision after the analysis The gain assigned to the gain unit itself and the new gain error determined to be passed to the next gain unit; judge whether there are any gain units not set, if so, set the next gain unit, and return to the previous step; if not, end. It dynamically corrects the allocation of each gain unit, analyzes the relationship between the gain to be allocated and the hardware gain resources, tries to implement the gain allocation through hardware, avoids gain compression, and improves measurement accuracy.

Description

technical field [0001] The invention relates to a wave-type whole machine gain distribution method of a spectrum analyzer. Background technique [0002] In order to measure the signal amplitude in a wide range, the spectrum analyzer needs to adjust the internal gain distribution according to different signal amplitude measurement requirements to achieve the best measurement state. Therefore, there are multiple different and adjustable internal RF and IF circuits. The gain unit is used to realize the gain distribution. [0003] The traditional gain allocation algorithm is a parallel algorithm. The parameters of each gain unit are obtained through calibration, and the gain to be allocated to each gain unit is calculated at one time according to these parameters during allocation, and then the hardware settings of each gain unit are performed. The advantage of this method is that each gain unit only considers its own control, there is no coupling between each other, and the al...

AI Technical Summary

Problems solved by technology

The advantage of this method is that each gain unit only considers its own control, there is no coupling between each other, and the algorithm and control are very simple and easy to implement; the disadvantage is that the hardware circuit resources cannot be fully utilized, the gain allocation error may be large, and when Gain compression may occur under some critical conditions when the hardware gain distribution error is large, which directly leads to measurement errors

An improvement to this scheme is to use software gain compensation to improve measurement accuracy, but this method does not improve gain compression

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