On-line wavelet filtering of narrowband noise in signal detection of spread spectrum system for location tracking

摘要: Spread spectrum signal transmitted by wireless channel for location tracking can be severely corrupted noise due to external disturbances. Narrowband is the most effective interference that make measurement undetected. However, current methods narrowband (NBI) suppression are either very time-consuming or add distortion received. In this paper, an adaptive Gaussian wavelet filter with optimal time–frequency localization and variable notch depth proposed suppress a large number of NBIs additive white pulsed interfere spread communication system. The filtering both continuous time-varying fast resampling performed in conjunction Fourier transform-based correlation peak detection, computationally efficient real-time operation detection. performance has been evaluated experiments employing reliable detector. Experimental results demonstrate isolates signals from NBI accordance frequency contents while preserving desired signal, improves ratio detection leading higher accuracy timing location. Copyright © 2011 John Wiley & Sons, Ltd. (The technology innovation lies developed property time-frequency adjusted respect power at located effectively interferences receiver, maintaining minimal information loss.)