MIMO雷达对低速地面运动目标的探测

H. Deng, B. Himed
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引用次数: 2

摘要

在机载雷达系统中,空时自适应处理(STAP)是在地杂波条件下检测地面运动目标的常用方法,但由于目标的多普勒频率与地杂波的多普勒频率接近,当地面运动目标的速度很低时,该方法的有效性就会降低。典型的低速地面目标探测场景包括探测地面部队和缓慢移动的地面车辆。多输入多输出(MIMO)雷达具有多个发射和接收通道,为目标探测和测量中的融合处理提供了额外的多样化反射。MIMO雷达已被广泛研究[1,2];但MIMO雷达的确切结构定义有很大的不同。本文提出了一种创新的机载系统多级多输入多输出雷达信号处理体系结构,以有效探测低速地面运动目标。本文验证了基于mimo的低速地面目标检测方法的有效性,并给出了仿真结果。
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Detection of low-speed ground moving targets using MIMO radar
For airborne radar systems, space-time adaptive processing (STAP) is the approach that is normally adopted to detect ground moving targets in ground clutter, but the technique becomes less effective if the speed of ground moving targets is very low because of the proximity of the Doppler frequency of targets to that of ground clutter. Typical low-speed ground target detection scenarios include detecting ground troops and slowly-moving ground vehicles. Multiple-Input Multiple-Output (MIMO) radar possesses multiple transmitting and receiving channels providing additional diversified reflections for fusion processing in target detection and measurements. MIMO radar has been extensively investigated [1, 2]; but the exact structure of MIMO radar is defined widely different. In this work, an innovative multi-level MIMO radar signal processing architecture is proposed for airborne systems to effectively detect low-speed ground moving targets. The new MIMO-based approach is demonstrated to be effective for detecting such low-speed ground targets in this work, and some simulation results are presented subsequently.
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