Multi-Time-Scale Shortwave Channel Model Based on Ionospheric Characteristics

This thesis proposes a multi-time-scale ionospheric shortwave channel model based on the Watterson model to address the issue of channel changes under different time scales. The paper elaborates in detail on the parameter estimation algorithm of the ionospheric channel model obtained through electron density calculation. Meanwhile, a control experiment is set up with the LTV (Long Time Varying) and ITV (Instantaneous Time Varying) channel models whose Alpha filter performance has been verified based on observed data. Simulations of various time scales for both models are carried out, and the signals passing through the two channels demonstrate consistency in terms of time-frequency domain and key signal parameters. The simulation results show that the multi-time-scale ionospheric shortwave channel model can accurately simulate the real transmission conditions of the shortwave transmission system under different time scales.