Understanding Probability of Intercept in Real-Time Spectrum Analysis

Understanding Probability of Intercept in Real-Time Spectrum Analysis

Application Notes

As today’s wireless signals become more complex, the process of analyzing and understanding those signals becomes more difficult. Examples of complex signals include signals with some combination of highly agile carrier frequencies, digital modulation, time-division multiplexing, and burst shapes. Additionally, more devices and systems are using the same frequency bands; as a result, it is becoming increasingly difficult to identify and characterize interference and signal errors, especially when they come from transient signals.

×

Please have a salesperson contact me.

*Indicates required field

Select a preferred method of communication*Required Field
Preferred method of communication? Change email?
Preferred method of communication?

By continuing, you are providing Keysight with your personal data. See the Keysight Privacy Statement for information on how we use this data.

Thank you

A sales representative will contact you soon.