Mitigation of interference from wideband IEEE 802.11a source on UWB wireless communication using frequency selective wavelet packets

Abstract

Ultra wideband (UWB) wireless systems are highly susceptible to interference from other services. In this article we propose a novel wavelet packet based approach to address the issue of interference mitigation from wideband co-existing services such as the WLAN standard IEEE 802.11a on UWB communication. By representing the UWB transmission waveform as wavelet packet coefficients and by selectively removing those coefficients whose spectral footprint lie in or close to the interference zones, the effect of interference on the UWB system is mitigated. Special emphasis is given to the design of maximally frequency selective filter banks derived from a modified Remez exchange algorithm. The proposed interference mitigation is shown to be effective with a much improved bit error rate (BER) performance.