Consider a scattering scenario illustrated in Figure 1. In one scenario, a swath sweeps across the scatterers as time passes. This sweeping of the swath results in different scatterers contributing to the return at different times. Similarly, in a different scenario, rather than scanning, the radar could dwell at a certain location but the environment, for example the surface of the sea, could cause the contributing scatterers to change with time. In either scenario, we might represent the area encompassed by the swath and contributing to the return by a variable “$A$”. If we denote the number of scatterers within the swath at time $t$ as $N_{A}(t)$, then the quantity $N_{A}(t)$ fluctuates randomly as a function of $t$, i.e. $N_{A}(t)$ is a random process that fluctuates as the swath scans the surface or as the environment changes with time (or both).
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机译：考虑图1所示的散射情况。在一种情况下，随着时间的流逝，一条条带扫过散射体。条带的这种扫掠导致不同的散射体在不同的时间贡献了返回。同样，在不同的情况下，雷达可能会驻留在某个位置，而不是进行扫描，但是环境（例如海面）可能会导致散射体随时间变化。在这两种情况下，我们都可以用一个变量“
$ A $
”。如果我们表示时间范围内的散射体数量
$ t $
作为
$ N_ {A}（t ）$
，然后是数量
$ N_ {A}（t ）$
随以下函数随机波动
$ t $
， IE。
$ N_ {A}（t ）$
是随机的过程，随着条带扫描表面或环境随时间（或两者）变化而波动。
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