What component is often found in both RADAR and LIDAR systems to process the signals received?

In both RADAR and LIDAR systems, the signal processor plays a critical role in analyzing and interpreting the signals that are received after being bounced back from objects in the environment. This component is responsible for filtering, amplifying, and extracting useful information from the raw data collected by the sensors.

The signal processor converts the analog signals into digital formats that can be further analyzed to determine the distance, speed, and other relevant attributes of the detected objects. It effectively transforms the raw data into actionable insights, which is essential for the systems to function properly, making it a fundamental component in both technologies.

The other components mentioned serve different functions; for example, transmitters are used to send out the original signal, modulators adjust the characteristics of these signals, and reflectors are the surfaces that reflect the emitted signals back to the sensors. While these components are essential to the overall operation of RADAR and LIDAR systems, it is the signal processor that directly handles the incoming data to facilitate interpretation and application.