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A new inversion algorithm for HF sky-wave backscatter ionograms
Authors:Jing Feng  Binbin Ni  Peng Lou  Na Wei  Longquan Yang  Wen Liu  Zhengyu Zhao  Xue Li
Institution:1. School of Electronic Information, Wuhan University, Wuhan 430079, China;2. China Research Institute of Radiowave Propagation, Qingdao 266107, China;3. School of Physics and Optoelectronic Engineering, Xidian University, Xi’an 710071, China
Abstract:HF sky-wave backscatter sounding system is capable of measuring the large-scale, two-dimensional (2-D) distributions of ionospheric electron density. The leading edge (LE) of a backscatter ionogram (BSI) is widely used for ionospheric inversion since it is hardly affected by any factors other than ionospheric electron density. Traditional BSI inversion methods have failed to distinguish LEs associated with different ionospheric layers, and simply utilize the minimum group path of each operating frequency, which generally corresponds to the LE associated with the F2 layer. Consequently, while the inversion results can provide accurate profiles of the F region below the F2 peak, the diagnostics may not be so effective for other ionospheric layers. In order to resolve this issue, we present a new BSI inversion method using LEs associated with different layers, which can further improve the accuracy of electron density distribution, especially the profile of the ionospheric layers below the F2 region. The efficiency of the algorithm is evaluated by computing the mean and the standard deviation of the differences between inverted parameter values and true values obtained from both vertical and oblique incidence sounding. Test results clearly manifest that the method we have developed outputs more accurate electron density profiles due to improvements to acquire the profiles of the layers below the F2 region. Our study can further improve the current BSI inversion methods on the reconstruction of 2-D electron density distribution in a vertical plane aligned with the direction of sounding.
Keywords:Backscatter  Ionogram  Ionosphere  Inversion  Reconstruction
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