Multi-surface shape measurement method based on frequency blind estimation
A measurement method and multi-surface technology, applied in the direction of measuring devices, instruments, optical devices, etc., can solve the problems that the interferogram cannot obtain accurate results, cannot be separated, and cannot obtain accurate calculation results.
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Embodiment 1
[0085] In this example, see figure 1, a multi-surface surface shape measurement method based on frequency blind estimation, through the blind estimation of the interference frequency of each point in the collected interferogram and the solution of the amplitude and phase, the one-time measurement of the measured object with multiple surfaces is completed Non-contact measurement; using a wavelength phase-shifting interferometer to collect the interferogram of the measured object, the multi-surface surface measurement method based on frequency blind estimation includes the following steps:
[0086] a. Carry out blind frequency estimation based on the independent distribution of the interference frequency of each signal on the light intensity change fringe pattern of the superimposed cosine signal, so as to determine the precise frequency distribution of each interference signal;
[0087] b. Calculate through the new least squares initial phase and amplitude solution method to re...
Embodiment 2
[0090] This embodiment is basically the same as Embodiment 1, especially in that:
[0091] In this example, see figure 1 , when solving the interference frequency of each signal, consider the interferogram superimposed by the front and rear surfaces and thickness changes. According to the laser propagation characteristics, the collected fringe pattern is expressed as the superposition of three groups of cosine signals. Expressed as a signal composed of K cosine signals and noise e(n) superimposed, written as the following expression:
[0092]
[0093] In the formula, the ordinal numbers of the actual collected data are n=1,...,N,{A k , ω k : k=1,...K} is the unknown real quantity, θ k : k=1,...N is an independent random variable between -π~π, has a uniform distribution characteristic, and corresponds to the initial phase of each signal; ω k is the frequency of each signal; A k is the contrast of each signal; the blind frequency estimation is obtained from the given N ...
Embodiment 3
[0147] This embodiment is basically the same as Embodiment 2, and the special features are:
[0148] In this example, see Figure 1-7 , considering that when the wavelength is phase shifted, different surfaces correspond to different interference signal phase shift frequencies, and from the time domain signal frequency, the collected interference fringe pattern is equivalent to the superposition of multiple sets of cosine signals. Therefore, multiple groups of signals can be separated based on different phase shifting frequencies, so as to extract different surface shape information. This can eliminate the influence of the cavity length that cannot be satisfied when the DUT is placed. The method proposed in this embodiment mainly includes two parts:
[0149] (1) Carry out blind frequency estimation based on the independent distribution of the interference frequency of each signal on the light intensity variation fringe pattern of the superimposed cosine signal, so as to dete...
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