Automated RF Measurement Module (ARMM)

Advanced technologies have enabled wide spread application of wireless voice and high speed data communication systems. These "personalized" communication systems also become important sources for intelligence gathering and monitoring of illegal activities. In this proposal, we propose to perform SEI (Specific Emitter Identification) based on the unintended modulation schemes that are inherent to the manufacturing of the communication transmitters. A set of SEI algorithms based on statistical approaches that utilize both frequency and I/Q domain data are described. The algorithms are applicable to various modulation types and are feasible for real time implementation. Based on the preliminary simulations, the proposed SEI algorithms indicate a high probability of success under noise, Rayleigh channel fading and multi-path interference conditions. The developed SEI algorithms will be tested based on both the simulated data and the Government provided data.