Performance Analysis of High Frequency Propagation Prediction Models in the Context of Bangladesh

High Frequency (HF) radio communication is critical in military and humanitarian missions, as well as in connecting remote areas during emergencies. HF communications are often interrupted because of unpredictable ionospheric behaviour. HF propagation prediction models suggest feasible frequency management by analyzing ionospheric behaviour and geographical diversity. In Bangladesh, limited research on HF propagation prediction models leads to disrupted radio communication during emergencies. This study aims to determine the most effective HF propagation prediction model for Bangladesh by evaluating performance of three selected models: VOACAP, ASAPS, and REC533, with field data. The models' accuracy and precision were evaluated through both descriptive and statistical analysis. According to the study, the VOACAP model is the most accurate out of the three models chosen. This finding can significantly contribute to enhance quality of HF communication in Bangladesh and can generate valuable insights on further study on attaining reliability of HF radio communication during emergency in Bangladesh.