A CEEMDAN-CA Detector for UWB Pulse Signal in Low SNR

Abstract

In this paper, we propose a novel detector that combines complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and cell averaging-constant false alarm rate (CA-CFAR) approach for noise-dominated ultra-wideband (UWB) pulse signal. The proposed detector is utilized to estimate noise power from the received signal's intrinsic mode functions (IMFs). Then the detection threshold is determined based on noise estimation and a given false alarm rate. The proposed method can detect UWB pulse signal submerged in noise and work blindly, requiring no prior information. The performance is validated by simulations and experiments, which show the proposed detector has high robustness to noise uncertainty and can detect weak UWB pulse signal at -15dB of signal-to-noise ratio (SNR) with a detection rate of nearly 90%. Further, experiments on the UWB positioning module prove the effectiveness of this method in practical application.