An AGC Jump Detection Method Based on α-β Filter

Abstract

The invention discloses an AGC jump detection method based on alpha-beta filtering. The method is characterized in that the method comprises the following steps: S1) carrying out initialization: carrying out alpha-beta filtering on first 20 frames of AGC measurement values; S2) calculating covariance between filtering values of 10-19 frames before a current frame and the AGC measurement values; S3)calculating AGC jump threshold according to the covariance obtained in the step S2); S4)carrying out judgment on the current frame and the 9 frames before the current frame, if meeting jump conditions, judging that AGC has a jump edge, for a rising edge, flag bit being 1, and for a falling edge, flag bit being -1, and carrying the step 5), and if not meeting the jump conditions, returning to the steps S2) for continuous detection; and S5) interrupting the previous alpha-beta filtering process, carrying out filtering again from the jump edge, and returning to the step S2) for continuous detection. The advantages are that, based on the alpha-beta filtering, the method is small in computation amount and high in real-time performance, does not need to add circuit modules and can be applied to engineering practice conveniently.

Description

technical field [0001] The invention relates to an AGC jump detection method, in particular to an AGC jump detection method based on α-β filtering. Background technique [0002] With the increasingly harsh electromagnetic environment of the modern battlefield, while the radar is normally searching and tracking the target, it is also threatened by various interferences, among which deceptive distance towing interference is a typical active interference method. This jamming method tricks the radar into falsely tracking the jamming signal and eventually leads to the loss of the target. In order to take corresponding anti-jamming measures, it is first necessary to detect when the jamming signal appears and finally when the jamming signal disappears. [0003] Since the strength of the interference signal is generally stronger than the target signal, and the automatic gain control (AGC) automatically adjusts the gain of the amplifier circuit with the signal strength, the appearan...

AI Technical Summary

Problems solved by technology

This method uses the modulus maximum method of wavelet transform to detect the symbol jump point of the digital communication signal. Although it has high accuracy, it has a large amount of calculation and is not suitable for scenarios with high real-time requirements. Applications

Images