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Space/time/frequency methods in adaptive radar - New Jersey ...

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14The collected data comprise a set of reflectivity measurements <strong>in</strong> two dimensions.The dimensions of the data format is referred to as slant range and cross range.A data record will extend <strong>in</strong> slant range over the range swath and cont<strong>in</strong>uously<strong>in</strong> cross range along the flight path over which the data are collected as shown <strong>in</strong>Figure 2.4(b). Before process<strong>in</strong>g, the data set does not resemble a map or image andechos from <strong>in</strong>dividual po<strong>in</strong>t targets are dispersed <strong>in</strong> both range and azimuth. Datacollected from the slant-range and cross-range space are processed to achieve rangeand azimuth compression.2.3 Why are Time-<strong>frequency</strong> Representations Needed ?A one-to-one relation exists between a signal <strong>in</strong> the <strong>time</strong> doma<strong>in</strong>, s(t), and thespectrum <strong>in</strong> the <strong>frequency</strong> doma<strong>in</strong>, S(f). This relation is shown us<strong>in</strong>g the Fouriertransform. For a one-dimensional signal, s(t), the Fourier transform is given byThe <strong>in</strong>verse Fourier transform isis shown <strong>in</strong> Figure 2.5.While the Fourier transform allows a signal to be transformed back and forthbetween the <strong>time</strong> and <strong>frequency</strong> doma<strong>in</strong>s, it does not allow for a comb<strong>in</strong>ation of thetwo doma<strong>in</strong>s. The <strong>time</strong> localization of the spectral components is conta<strong>in</strong>ed <strong>in</strong> thephase of the spectrum but it may not be easy to <strong>in</strong>terpret.

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