Automatic identification of interferences in direct sequence spread spectrum communication system

Analyzing the interference environment in which the communications system is located can help both the participants in communication take corresponding anti-interference measurements for specific types of interference. The automatic identificication of the interferences in the direct sequence spread spectrum (DSSS) communication system was proposed by a set of robust feature parameters which can jointly extract the characteristics of the interferences in time, frequency and time-frequency domains at the condition of no prior knowledge of the interferences. The simulated result shows that the correct identification rate of various interference signals based on the method proposed is reasonably high in the case of different interference-to-signal ratio (ISR) and signal-to-noise ratio (SNR).