Jammer suppression in spread spectrum communication using novel independent component analysis approach

Abstract

Spread spectrum communications is an increasingly popular technique for use in diversity of systems. They are based on signaling schemes which greatly expand the bandwidth of the transmitted spectrum relative to the information bandwidth. Though, the gain is sufficient for proper performance of the system in most of the cases, additional interference suppression capability is needed when interference plays a dominant role. A novel adaptive scheme for jammer mitigation in Direct Sequence Spread Spectrum communication (DSSS) systems using independent component analysis (ICA) is proposed in this paper. This blind separation method provides jammer mitigation and recovers the data sequence from Binary Phase Shift Keying (BPSK) modulated signal as they arrive in a blind fashion. Extraction of the transmitted sequence from the received sequence is done with improved convergence speed compared to existing ICA algorithms. Simulations are carried out to illustrate the achieved performance of the proposed scheme for variable sequence lengths and different values of jammer power. The merits and limitations of the proposed ICA assisted jammer suppression scheme in comparison to Fast ICA assisted one are also discussed. The proposed method provides better SNR value compared to simple DSSS, Fast ICA based DSSS and other interference suppression schemes presented in the literature.