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(b) In range dimension.
Specially, we obtain estimation in the range dimension using GCAPC.
(b) Images of scatterer 2 along range dimension.
Partitioning of the beamforming is done along a range dimension.
Also, the range dimension of surveillance area is divided into N R bins.
The second is the range dimension which represents the time dimension.
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Let D r and D a are the maximum range and cross range dimensions of target, respectively.
We plot the dominant scatterers corresponding to different algorithms respectively along the cross-range and range dimensions in Figure 16, in order to show the improvement on the point spread function (PSF) by the use of the improved PFA.
(a) Images of scatterer 1 along cross-range dimension.
In RD imaging, the cross-range compression is achieved by applying a Fourier transform in the cross-range dimension.
Therefore, the vector β is sparse, and the echoes of target are compressive in the cross-range dimension.
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