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However, the actual motion of platform is not ideal, so the range compressed signal in (3) is blurred with motion error Δ R=A ′ P−A P. Motion compensation is then processed to the blurred range compressed signal in order to remove the envelope and phase of motion errors, so that most of the errors would be compensated.
This approach is based on fuzzy arithmetic, a special field of fuzzy set theory, where the uncertain values of the model parameters are represented by so-called fuzzy numbers, reflecting in a rather intuitive and plausible way the blurred range of possible parameter values.
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Moreover, a good inter-class prediction seems to be also important if considering B Co which works effectively (and corresponds to a good inter-class prediction rate) in the lower blur range.
As a result, the image is blurred in the cross range from PFA.
Since the classifications are qualitative, the divisions between the classifications are blurred and the ranges are drawn overlapping.
As shown in Figure 15g, when one utilizes PFA on the dechirped signals directly, the image is blurred in the cross-range direction.
As a result, the final output is blurred in the cross range and focused in slant range, (Figure 8i).
Note that although the original eigenvector method can get highly focused results in certain range cells, blurring cases emerge in other range cells.
Because of the longer range of 13N and 15O, those radioisotopes might result in slightly blurred images or require positron range deblurring.
It can be seen that the blurring in range cells caused by MTRC is compensated, but the blur in the Doppler dimension still remains.
But the C-Series, with its larger capacity and range, has now blurred that line, Boeing and Airbus say.
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