摘要车载雷达行进间作战具有良好的机动性和灵活性，是未来发展的重要趋势。但与此同时，平台运动一方面会使地物杂波频谱偏离零频位置，另一方面还会使地物杂波在多普勒域展宽，从而造成传统杂波抑制算法性能下降。针对上述问题，本文先就行进间车载雷达杂波特性展开分析，之后引入空时自适应处理技术（space time adaptive processing， STAP），最后通过仿真试验验证STAP处理在车载雷达领域的有效性。
Abstract：Marching vehicle-borne radar enjoys superiority in flexibility and agility, which conforms to the trend of radar development in the future. However, moving vehicle may result in frequency deviation of ground clutter from zero, and also lead to Doppler broadening of ground clutter spectrum. Consequently, the performance of conventional clutter suppression method dramatically declines. To cope with such difficulty, this paper presents analysis of clutter characte-ristics in marching vehicle-borne radar, and proposes a suppression technique based on space-time adaptive processing (STAP). The effectiveness of the proposed method is verified by simulation.
