A wavelet packet transform-based approach for interference measurement in spread spectrum wireless communication systems

This paper mainly concerns interference measurement in spread spectrum, wireless communication systems. A new digital signal-processing method is proposed, which proves to be nonintrusive and independent of the specific system considered. Thanks to the properties of the wavelet packet transform, the method is capable of extracting the interference that occurred from the spread spectrum signal, thus ensuring accurate interference magnitude and frequency estimates also in critical conditions: interference level much smaller than that characterizing the spread spectrum signal, and interference spectral content very close to the carrier frequency of the considered system.