How does Pulse Radar differentiate between multiple moving objects?

Pulse Radar differentiates between multiple moving objects primarily through the use of signal processing techniques. These techniques involve analyzing the returned radar signals to extract useful information about the targets. By utilizing methods such as Doppler processing, radar can determine the relative speeds and directions of different moving objects.

For example, when multiple objects are within the radar's field, the frequency shifts of the signals reflected from those objects are analyzed. Each moving object will produce a unique Doppler frequency shift based on its velocity relative to the radar. Advanced algorithms can then filter, track, and differentiate between these signals, allowing the radar system to maintain separate tracks for each object.

Utilizing signal processing enables the radar to effectively handle complex environments where multiple targets are present, ensuring accuracy in detection and tracking, which is crucial for applications such as air traffic control, maritime navigation, and surveillance.

In contrast, the other options would not provide adequate means of differentiation between multiple objects, as relying solely on visual cues may not be feasible in all radar applications, increasing the sampling rate doesn't necessarily enhance differentiation, and adjusting the angle of the radar may improve coverage but does not intrinsically improve the ability to distinguish between targets.