An adaptive simultaneous iteration reconstruction technique for three-dimensional ionospheric tomography

The three-dimensional reconstruction of a tilt series for ionospheric tomography is commonly carried out using one of iterative algorithms such as the simultaneous iteration reconstruction technique (SIRT). This reconstruction algorithm cannot do the high computation efficiency and reconstruction accuracy is low. Here, we develop an adaptive simultaneous iteration reconstruction technique for ionospheric tomography, which is based on an adaptive adjustment method for the relaxation factor and weighted parameter by the reconstruction results of the previous iterative ionospheric electron density. Using a combination of simulation and real datasets for the experiment and comparing with ionosonde observations, it is shown that this new algorithm ASIRT has a better reconstruction quality than the SIRT. Moreover, it is able to accelerate the reconstruction speed.