What parameters does the processor compare signal characteristics to in order to identify detected emitters?

The correct choice is based on the fact that MDS parameters are integral for the processor to effectively identify detected emitters. MDS, or Minimum Detectable Signal, refers to a set of specific characteristics associated with signals that can assist in distinguishing between various types of emissions. By comparing these parameters, the processor can ascertain the essential traits of the signals it receives, allowing it to match them with known emitters or recognizing when a new signal is present based on its unique signal characteristics.

While known radar types, noise thresholds, and signal strength are certainly important concepts in signal detection and processing, they do not specifically represent the framework used for emitter identification as closely as MDS parameters do. Known radar types provide a catalog for matching but rely on parameters for effective recognition. Noise thresholds help in determining the ambient noise floor, which aids in filtering signals but does not directly correlate to identifying emitters themselves. Signal strength is a measure of the amplitude of the received signal and does not encompass the detailed characteristics needed for emitter identification. Thus, MDS parameters serve as the foundational basis for comparison necessary for accurate emitter identification.