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Real-time broadband spectrum analysis and storage method and device
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A broadband spectrum and real-time spectrum technology, applied in spectrum analysis/Fourier analysis, etc., can solve the problems of high cost, inability to meet equipment miniaturization, light weight, complex structure, etc., to expand bandwidth, reduce equipment volume and complexity degree of effect
Pending Publication Date: 2021-08-17
嘉兴军创电子科技有限公司
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Problems solved by technology
The cost of traditional methods is high and the structure is complex, which cannot meet the needs of equipment miniaturization and light weight
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Embodiment 1
[0063] Such as figure 1 Shown is a method for real-time broadband spectrum analysis and storage, the method comprising the following steps:
[0065] Step 2, performing polyphase decomposition on the broadband baseband complex signal to obtain multiphase branch signals, and performing serial pipeline FFT calculation on each phase branch signal;
[0066] Step 3, select the twiddle factor, and perform complex multiplication operation on the serial pipeline FFT calculation result of each phase branch signal and the twiddle factor;
[0067] Step 4, performing logarithmic operation on the complex multiplication result of the multiphase branch signal in a parallel pipeline FFT calculation to obtain real-time spectrum data;
[0068] Step 5, cache the real-time spectrum data and store it in a non-volatile memory in real time.
[0069] A device for real-time broadba...
Embodiment 2
[0078] A method for real-time broadband spectrum analysis and storage, the method comprising the following steps:
[0079] Step 1, digitally processing the wideband radio frequency signal to obtain a wideband baseband complex signal;
[0080] Step 2, decompose the wideband baseband complex signal into multiphase to obtain multiphase branch signals, perform serial pipeline FFT calculation on each phase branch signal, and use the following formula for serial pipeline FFT calculation:
[0081] x(n)=x(n 2 N 1 +n 1 );
[0082] In the formula, x(n) is the signal of N points, N=N 1 *N 2 , n 1 =0,1,2...N 1 -1,n 2 =0,1,2...N 2 -1;
[0083] Step 3, select the twiddle factor, and perform complex multiplication operation on the serial pipeline FFT calculation result of each phase branch signal and the twiddle factor;
[0084] Step 4, perform the logarithmic operation on the complex multiplication result of the multiphase branch signal in the parallel pipeline FFT calculation to...
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Abstract
The invention provides a real-time broadbandspectrum analysis and storage method and device. The invention relates to a real-time broadbandspectrum analysis and storage method, which comprises the following steps of: carrying out digital processing on a broadbandradio frequencysignal to obtain a broadband baseband complex signal; carrying out multiphase decomposition on the broadband baseband complex signal to obtain multiphase branch signals, and carrying out serial pipeline FFT calculation on each phase branch signal; selecting a twiddle factor, and performing complex multiplication on the serial pipeline FFT calculation result of each phase of branch signal and the twiddle factor; performing parallel pipeline FFT calculation on a complex multiplication result of the multi-phase branch signal, and then performing logarithmic operation to obtain real-time spectrum data; caching and storing real-time spectrum data in a non-volatile memory in real time. According to the invention, full-parallel FFT calculation is directly carried out on the broadband signal acquired by the high-speed ADC, the frequency spectrum of the GHz-level broadband signal can be calculated in real time, and real-time frequency spectrum data can be recorded in a gapless and lossless manner.
Description
technical field [0001] The invention relates to a method and device for spectrum monitoring and storage, in particular to a method and device for real-time broadband spectrum analysis and storage. Background technique [0002] Spectrum monitoring and storage are necessary and one of the most important functions for wideband digital receivers. Currently, the monitoring of radio frequency spectrum generally adopts superheterodyne method to down-convert the input signal, so that the signal is transmitted at a fixed intermediate frequency. analysis processing. Due to the existence of the image frequency, it is generally necessary to use two or three frequency conversions to convert to a fixed intermediate frequency for processing, and perform down-conversion processing to move the signal to the baseband, and filter the baseband signal through a filter to obtain the I / Q signal. The baseband signal is subjected to FFT (Fast Fourier Transform) operation, and finally the magnitude-...
Claims
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