De-noising algorithm for enhancing microwave imaging

Abstract

An algorithm for the de-noising of S-parameter data used in microwave imaging is proposed. The complex S-parameter frequency-sweep data are collected through scans over an acquisition surface and the algorithm separates efficiently the resulting two-dimensional responses (one frequency at a time) into a signal and a noise component. The separation is performed with an iterative procedure similar to the empirical mode decomposition. The signal component estimates the noise-free data, whereas the remaining data content estimates the noise and uncertainty in the measurement. The algorithm performance is verified with measured data.

Keywords

• microwave imaging
• image denoising
• image enhancement
• S-parameters
• iterative methods
• decomposition
• measurement uncertainty
• computerised instrumentation
• microwave imaging
• image enhancement
• image denoising
• complex S-parameter frequency-sweep data denoising
• data collection
• surface acquisition
• iterative procedure
• empirical mode decomposition
• signal component estimation
• measurement uncertainty