LSS-target Intelligent Detection Method Suitable for Complex Geographical Environment

Abstract

In complex geographical environment, due to the serious aliasing of clutter and target echo, problems such as false alarm and missed detection appear frequently in the detection of LSS-targets, resulting in the low detection probability of radar for such targets. To cope with such difficulty, the paper proposes an intelligent detection method for LSS-targets. First, The scene is identified and judged by the KMeans algorithm; then the strong clutter, especially strong point source clutter, is suppressed by the RELAX algorithm to reduce its influence on the weak target echo. Then coherent accumulation is performed through the Doppler filter bank to improve the signal-to-clutter ratio. Finally, adaptive clutter scene judging is performed on the detection area, and intelligent constant false alarm detection is performed in the range dimension of certain Doppler channel. Compared with traditional methods, the proposed algorithm shows superior ability of weak target detection and distinguished adapt ability in complex scenarios. Simulation results verify the effectiveness of the proposed algorithm.