A Frequency Estimation Method of MFSK Signal Based on Spectrum Accumulation and Matching
A technology of signal frequency and spectrum, applied in the field of signal processing, can solve the problems that non-cooperative communication is difficult to realize and cannot be widely used, and achieve the effect of reducing the amount of calculation and parameter influence, accurate estimation, and accurate prior knowledge
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Embodiment 1
[0029] The purpose of this embodiment is to estimate the center frequencies and frequency increments of different 4FSK signals under different SNR scenarios, and to verify that the inventive method can realize accurate 4FSK signal frequency information estimation. In the present embodiment, the length of the simulated signal is N=62500, the sampling rate is Fs=6250Hz, the symbols are randomly generated, the symbol rate is 125Baud, and the center frequency of the signal modulation is f 0 = 2000Hz, the data frequency difference Af = 300Hz, the in-band signal-to-noise ratio steps from -5dB to 10dB by 1. Invented way:
[0030] S1, the received signal is {y 1 ,y 2 ,...,y N}, divide the data into K=10 segments, each segment length L=6250, get
[0031]
[0032] S2, for each piece of data s i Do FFT transformation to get w i , i=1, 2, ..., 10;
[0033] S3, right {w i}, i=1, ..., the elements of the first half of K are accumulated according to the following formula to obtain...
Embodiment 2
[0048] The purpose of this embodiment is to estimate the center frequency and frequency increment of 2FSK and 8FSK signals under different SNR scenarios, and to verify the estimation performance of the inventive method. In the present embodiment, the length of the simulated signal is N=40000, the sampling rate is Fs=8000Hz, the symbols are randomly generated, the symbol rate is 160Baud, and the center frequency of the signal modulation is f 0=2000Hz, data frequency difference △f=300Hz, in-band signal-to-noise ratio from 0dB to 10dB in steps of 1. Do 100 trials in the same manner as in Example 1, and obtain the normalized root mean square estimation error as image 3 shown.
[0049] The results show that the method proposed in the present invention can accurately estimate the frequency information of the MFSK signal, especially when the signal-to-noise ratio is low. For 4FSK signal at 1dB, the normalized root mean square error of the frequency increment estimation is less tha...
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