Wavelet Denoising Techniques on MST radar Data

The aim of the work reported in this thesis is to develop wavelet based denoising technique for MST radar data. It was proposed to achieve this by first designing a wavelet suitable for clear-air echoes and then optimizing the denoising technique to suite MST radar data. While the details of the wavelet design for MST radar data is presented in the Chapter 4, the optimization of denoising technique is presented in this chapter. This optimization involves determining adequate levels of wavelet decomposition following by determining the best suited threshold levels for each of these sub-bands. Since it is expected that the noise levels essentially remain the same for all ranges except at very low ranges where ground clutter is expected to result in additional noise [Anandan et al., 2005]. A set of threshold levels should be adequate to denoise all the data collected during a given experimental conditions. This optimization process was performed utilizing the experimental data. Both moderately strong signals as well as noisy signals were used in each of the above two cases.