Method and apparatus for frequency estimation of undersampled signals based on pattern clustering and spectrum correction
A technology of signal frequency and under-sampling, which is applied in character and pattern recognition, computing, computer components, etc., can solve the problems of not being able to apply multi-frequency, high complexity, and low reconstruction accuracy, so as to reduce computational complexity and Hardware requirements, the effect of high measurement accuracy
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Embodiment 1
[0064] An embodiment of the present invention provides a method for estimating the frequency of an undersampled signal based on pattern clustering and spectrum correction, see figure 1 , the method includes the following steps:
[0065] 101: Perform N-point DFT plus a Hanning window on the sample sequence of the L-channel undersampled signal to obtain a DFT spectrum;
[0066] Among them, the L channel undersampling signal sample sequence is used by x 1 (n),...,x L (n) means that the DFT spectrum is represented by X 1 (k),...,X L (k) (k=0,...,N-1) represents. For any l-th spectrum (l=0,...,L), record the peak point of the DFT spectrum as k m,l ,m=1,...,M. The value of M is a positive integer.
[0067] 102: Perform spectrum and phase correction based on the ratio method on the DFT spectrum to obtain a corrected parameter set consisting of frequency, phase, and amplitude, and obtain a vector composed of corrected parameters;
[0068] Among them, the parameter group uses ...
Embodiment 2
[0078] In order to make the object of the present invention, technical scheme and advantage clearer, below in conjunction with specific mathematical formula, figure 1 The scheme in embodiment 1 is described in further detail, see the following description for details:
[0079] 1. CRT reconstruction model for single frequency estimation
[0080] For a single frequency signal x(t),
[0081]
[0082]Among them, a, θ 0 , f 0 Represents the magnitude, raw phase, and estimated frequency.
[0083] Estimating frequency f at low hardware cost 0 , the single-frequency signal x(t) needs to use L subsampling rates F 1 ,...,F L 0 For discretization, and the greatest common divisor N=gcd{f of the uniform undersampling rate is required s1 ,..., f sL}, so as to get the co-prime integer set Γ 1 ,...,Γ L :
[0084] Γ l =F l / N,l=1,...,L (4)
[0085] Thus, L sequences x of length N can be obtained l (n), l=1,...L,
[0086]
[0087] Among them, F l is the undersampling rate...
Embodiment 3
[0141] Combine below Figure 2-Figure 4 , and table 1 carries out feasibility verification to the scheme in embodiment 1 and 2, see the following description for details:
[0142] In this section, the estimator proposed by the embodiment of the present invention is used to process under-sampled multi-frequency complex-valued signals, as shown in formula (11), and M=4, L=2 and N=512, Γ are defined in the experiment 1 =3301,Γ 2 = 3307 (so F 1 =1.690112 Msamples / s, F 2 = 1.693184M samples / s).
[0143] For the multi-frequency case, there are M spectral peaks in the DFT spectrum, and due to undersampling, for the Mth frequency component, its spectral peak is in the DFT spectrum X 1 (k) and X 2 The position in (k) may be biased (eg figure 2 shown). For the same signal, the magnitude and phase parameters are paired, and the above features can be used to identify the corresponding peak positions of the same source on two ADC sample sequences. Meanwhile, in order to overcome t...
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