Improved blind source separation method for main lobe suppression interference receiving channel non-ideal problem

Main lobe suppression interference is an important issue in the field of electronic countermeasures. The existing research on signal processing countermeasures mainly uses blind source separation methods, but the existing research does not take into account the non-ideal issues such as the IQ imbalance of the receiving channel characteristics of blind source separation. This article first analyzes the inconsistency of the input channel, and uses the original input correction method to obtain an improved algorithm for blind source separation for channel non-ideal. Simulation shows the impact of channel non-ideal characteristics on the deterioration of target-main lobe suppression interference blind source separation performance, and shows the improvement of target-main lobe suppression interference blind source separation performance by input correction methods. The calculation results show that the improved blind source separation method proposed in this paper is effective in improving the anti-interference effect under non-ideal channel conditions.