An AMUSE-based Approach for Detection and Blind Separation of Multi-component Radar Signals

摘要

The separation of multi-component radar signals is the key problem in the filed of radar countermeasure etc. In the real time-vary signal scenario with short data acquired, an AMUSE-based second order statistics approach for effective separation of multi-component radar signals is presented using an effective blind signal processing model built for the intercepted radar signals. The efficacy of this approach is verified by simulation results.