Phase Compensation Using Multipeak PSVT Algorithm in Coherent Doppler Tomography

Presented in this letter is an improved version of the point scatterer vector tracking (PSVT) method for noise estimation in microwave coherent Doppler tomography (CDT). This new process of multipeak PSVT (MP-PSVT) significantly improves the quality of the tomogram given a noisy dataset. Phase shifts caused by positional displacements between the microwave source and center of rotation are compared against multiple isotropic scatterers placed within an image plane. Correlation between a subset of estimated shifts is then used to formulate a singular noise function. This noise function is used to deembed the original dataset thereby compensating for all phase errors. The example performed in this letter leads to a 0.91 correlation coefficient in the linear regression model containing the estimated noise and the applied noise. This new MP-PSVT approach significantly outperforms the original PSVT method.