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The width of the window function is 33 range cells.
where is the number of range cells used for averaging.
where L denotes the number of the range cells.
Suppose that L dominant range cells are chosen for estimation.
The detection window and the K reference range cells form an observation window with M + K range cells.
Therefore, we extract the spectrogram feature with the window function width of 33 range cells and the overlap length of 16 range cells for training.
Note that although the original eigenvector method can get highly focused results in certain range cells, blurring cases emerge in other range cells.
The target 1 mainly locates in the 35th to 155th range cells, and the target 2 mainly locates in the 61st to 210th range cells.
The texture component accounts for random power variations over range cells.
L is the number of the range cells occupied by the target.
We put the clutter returns with the same number of range cells into the target returns.
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