Adaptive smoothing filtering method for target orientation
A target orientation, smooth filtering technology, applied in the signal pattern recognition, instrument, character and pattern recognition and other directions, can solve the problem of unable to accurately reflect the real orientation of the target, unable to form a high-confidence target situation, etc. The effect of resisting interference, reducing overshoot, and improving rapidity
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[0043] According to the method described in the present invention, it has been implemented in the development of a certain electronic system, and the specific method is as follows:
[0044] 1) Realize the smoothing filter algorithm according to "Equations 1, 2, 3 and 4".
Embodiment approach
[0045] 2) Using fuzzy control to realize the smoothing filter coefficient k 1 and k 2 Online tuning, the implementation method is as follows:
[0046] a) Fuzzification of input variables: According to the system scenario, performance index and algorithm complexity, determine the two input variables of fuzzy control, and select k 1 Membership function, such as image 3 shown.
[0047] b) Generate a reasonable fuzzy rule table
[0048]According to the results E and EC of input fuzzification, perform fuzzy reasoning and generate a fuzzy rule table, see Table 1.
[0049] Among them, E and EC are fuzzy intermediate variables, E is error, and EC is error change. If E and EC belong to ZE and MP respectively, the smoothing filter coefficient k1 is set to EP.
[0050] Table 1 Fuzzy relationship of smoothing filter coefficient k1
[0051]
[0052] Note: Among them, ZE (zeros, zero), SP (small positive, positive small), MP (middle positive, middle), LP (large positive, positive...
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