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As a proof of this fact, Figure 21 shows the two range profiles aligned after using the proposed method and the global range alignment algorithm, when a = 3, b = 0.25, c = 0.5, and d = 1.
Minimum entropy or maximum contrast of the synthetic profile, such as the average range profile (ARP) of the aligned profiles, is used as the criterion to evaluate the performance of range alignment.
The resulting rods formed dense monolayers with short range alignment on silicon substrates, substantially different from the largely wavy patterns obtained with wt TMV.
Hence, the global range alignment algorithm provides a good alignment.
Range alignment is to compensate the range shifts of profiles.
In "Joint range alignment and phase adjustment by minimum entropy" section, algorithm for joint range alignment and phase correction by minimum entropy is illustrated in detail.
Minimum entropy-based methods have been proposed to realize range alignment and phase adjustment.
Utilizing RT for velocity estimation is very similar to the Hough-based range alignment approach [5].
Approaches to range alignment by minimum entropy of synthetic range profile are discussed in [6 8].
On the contrary, the global range alignment method may have convergence difficulties.
After range compression, conventional range alignment and phase adjustment are applied to the complete aperture data.
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