Resource Library Additions on Detecting Signals, Using Advanced Analytics
AFCEA offers a wide range of whitepapers, case studies and analytical content in its Resource Library. The latest offerings include:
Detecting Signals Hidden in Plain Sight
Author: Anritsu, Inc.
In the past, signals have been hidden by various means, including placing them next to a large signal such as an AM broadcast carrier or using spread spectrum technology to create low probability of detection (LPOD) signals. More recently the development of various digital modulation formats has provided a new means for signals to be hidden in plain sight. The presence of digitally modulated signals is commonplace now, to the point that if a signal looks familiar, such as a CDMA Barts head, it can easily be ignored as a known signal. That may be a big mistake as people intent on hiding transmitters may be creating signals that look like CDMA, GSM or LTE signals but have something completely different under the hood. It is becoming necessary to confirm that a signal is actually what it appears to be. To do this requires more than measuring the shape and bandwidth of the signal, but also demodulating the signal to confirm that all the expected signaling is present on the signal. These measurements are easily done with an antenna attached to a handheld signal analyzer such as the BTS Master or Spectrum Master. That is how all the signals shown in this application note were measured.
Using traditional tools and manual approaches, intelligence analysts are asked to do the impossible find hidden threats based on only a few data fragments. Now, advanced analytics with built-in alert systems can be set up to proactively identify, prioritize and present information to analysts based on pattern identification and quantification of risk. This paper explores how government agencies can use advanced analytics to link disconnected data and provide answers to complex questions.