Adaptive suppression of wideband interferences in spread-spectrum communications using the Wigner-Hough transform

The aim of this paper is to propose an adaptive method for suppressing wideband interferences in spread spectrum (SS) communications. The proposed method is based on the time-frequency representation of the received signal, from which the parameters of an adaptive time-varying interference excision filter are estimated. The approach is based on the generalized Wigner-Hough transform as an effective way to estimate the instantaneous frequency of parametric signals embedded in noise. The performance of the proposed approach are evaluated in the presence of chirp-like interferences plus noise.