Broadband frequency spectrum monitoring system and high-speed pseudorandom sequence signal generating method thereof

Abstract

The invention discloses a broadband frequency spectrum monitoring system and a high-speed pseudorandom sequence signal generating method thereof. The broadband frequency spectrum monitoring system comprises a signal preconditioning module, a power divider, a mixer, a low-pass filter, an intermediate frequency amplifier, an FPGA module and a reconstitution algorithm device, wherein the output end of the signal preconditioning module is connected with the input end of the power divider, high-speed pseudorandom sequence signals generated by the FPGA module and signals output by four output ends of the power divider are input into the input end of the mixer, four output ends of the mixer are connected with the input end of the intermediate frequency amplifier through the low-pass filter, the four output ends of the intermediate frequency amplifier are connected with the FPGA module, and the FPGA module is connected with the reconstitution algorithm device. Noise interference is reduced, system stability is improved, and the requirement for processing broadband sparse signals of a modulating broadband converter system is met.

Description

technical field [0001] The invention relates to a broadband spectrum monitoring system and a method for generating high-speed pseudo-random sequence signals. Background technique [0002] The Nyquist sampling theorem shows that: for analog to digital converters, the sampling frequency of the ADC must be greater than or equal to twice the highest frequency of the signal, so that the original analog signal can be reconstructed from the discrete sampling values ​​without distortion. Faced with the increasing bandwidth of signal monitoring, the broadband spectrum monitoring system designed by traditional Nyquist sampling method will greatly increase the hardware cost of sampling. Transmission and computing bring enormous pressure. Modulated WidebandConverter based on compressed sensing theory, MWC can blindly sample wideband sparse signals at a sampling rate much lower than the Nyquist rate, reconstruct the original signal with high probability through the reconstruction algori...

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Problems solved by technology

[0004] However, since the theory of modulated broadband converters has many restrictions on hardware, especially when dealing with ultra-wideband sparse signals, the code rate of the pseudo-random sequence is required to be not less than the Nyquist sampling rate of the signal

However, the generation of high-speed pseudo-random sequences is a difficult problem in itself, which greatly limits the design and implementation of modulated broadband converters.

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