Seamless collecting and real-time frequency spectrum monitoring implementation method based on FPGA

Abstract

A seamless collecting and real-time frequency spectrum monitoring implementation method based on an FPGA includes the steps of conducting filtering and A/D sampling on intermediate-frequency data through a band-pass anti-alias filter, transmitting low-voltage differential signals to the FPGA, arranging an accurate timestamp on the intermediate-frequency data through the FPGA according to second pulses provided by a GPS and according to a 125 MHz clock, converting the intermediate-frequency data into two paths of orthorhombic I/Q signals after digital down-conversion, and obtaining bandwidth-variable and sampling-rate-variable I/Q data after the I/Q data are extracted and filtered through a low-pass decimation filter. The finally-obtained I/Q data and frequency spectrum data need to be transmitted to a remote server by means of an embedded CPU through a network so as to be subsequently processed and analyzed and are limited by the uncertainty of the reading speed of the CPU and the transmission speed of the network, and caching is conducted through a third-generation double-data-rate synchronous dynamic random access memory.

Description

technical field [0001] The invention belongs to the technical field of radio monitoring, and in particular relates to a method for realizing seamless acquisition and real-time frequency spectrum monitoring based on FPGA. Background technique [0002] Radio monitoring needs to monitor the spectrum in the wireless environment to detect known and unknown signals, which may be intermittent and short in duration, which requires monitoring of occasional short-term signals. [0003] Surveillance systems need to quickly capture, identify and, where possible, locate long-range non-cooperative signals. Therefore, we need a low-cost solution that can be densely arranged in a certain area to form a grid-based monitoring. The receiver as close as possible to the front end of the transmitter in the coverage area should have the characteristics of low cost, low power consumption, small size, and adaptability to complex environments, and can meet the requirements of basic monitoring functi...

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to solve the problems of high cost, large volume, inadaptability to complex environments, and low flexibility due to the different intermediate frequency processing schemes of existing radio monitoring products, and

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