Research on Plot Authenticity Identification Method Based on PSO-MLP
Wei Peng, Qiang Lin · Journal of Physics Conference Series · 2020
Abstract Aiming at the influence of the clutter plots produced by the complex and strong clutters such as mountains, sea and cities on radar tracking performance, a method based on PSO-MLP is proposed to identify the authenticity radar plots. The method further distinguishes the target plots from the clutter plots, filters the residual clutter plots, and effectively improves the radar processing capacity and tracking performance. Based on the study of some differences between clutter and target plots, this method extracts multi-dimensional characteristic parameters, including doppler velocity, original amplitude and so on. Firstly, the parameters of MLP algorithm are optimized by PSO algorithm, and then the authenticity identification of clutter plots is carried out by MLP algorithm after parameter optimization, and then the remaining clutter plots are filtered out. Finally, the overall accuracy rate of plot identification reaches 85.75%. The experimental results show that the proposed algorithm has a high and stable accuracy of plot identification.