Abstract
In order to improve the detection and acquisition capability of complex electromagnetic radio frequency signals, a complex electromagnetic signal acquisition method based on Internet of Things radio frequency acquisition is proposed. A multi-transmission node signal sampling and detection model of the complex electromagnetic radio frequency signal Internet of Things is constructed, and signal spectrum analysis and feature extraction are carried out by combining a complex electromagnetic radio frequency signal spectrum feature decomposition method. The signal sampling and filtering analysis of the complex electromagnetic radio frequency signal are carried out by combining ZigBee Internet of Things networking and RFID radio frequency tag detection methods, a noise detection and spectrum analysis model of the complex electromagnetic radio frequency signal is established, and digital-to-analog conversion, beam detection and filtering processing of the complex electromagnetic radio frequency signal are carried out by adopting noise compensation and gain feedback methods. Linear feedback equalizer is used to control the stability of complex electromagnetic radio frequency signals in the process of multi-transmission node signal sampling in the Internet of Things, so as to realize the characteristic point sampling and radio frequency tag identification of complex electromagnetic radio frequency signals, and optimize the acquisition of complex electromagnetic radio frequency signals according to the identification results of radio frequency tags in the Internet of Things. The simulation results show that this method has high accuracy probability and strong anti-interference for complex electromagnetic RF signal acquisition, and improves the output spectrum characteristic resolution capability of complex electromagnetic RF signal.
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