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MIMO radar angle-range-Doppler imaging

机译:MIMO雷达角距多普勒成像

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Through waveform diversity, multiple-input multiple-output (MIMO) radar can achieve higher resolution and better sensitivity to slowly moving targets than phased-array radar systems. Furthermore, with a MIMO antenna array, the linear independence of reflected signals from scattering points allows for the direct application of adaptive array processing techniques. High levels of noise and strong clutter presence, however, significantly worsen detection performance. The iterative adaptive approach (IAA), a non-parametric and user parameter-free weighted least-squares algorithm, was recently shown to offer improved resolution and interference rejection for array processing applications. In this paper, we extend IAA to perform angle-range-Doppler imaging using a MIMO radar system. We furthermore demonstrate the superior performance of a MIMO radar system compared to a single-input multiple-output (SIMO) radar system.
机译:通过波形分集,与相控阵雷达系统相比,多输入多输出(MIMO)雷达可以实现更高的分辨率和对缓慢移动目标的更好灵敏度。此外,对于MIMO天线阵列,来自散射点的反射信号的线性独立性允许直接应用自适应阵列处理技术。但是,高水平的噪声和强烈的杂波会大大降低检测性能。迭代自适应方法(IAA)是一种非参数且无用户参数的加权最小二乘算法,最近被证明可为阵列处理应用提供改进的分辨率和干扰抑制能力。在本文中,我们扩展了IAA以使用MIMO雷达系统执行角度范围多普勒成像。与单输入多输出(SIMO)雷达系统相比,我们进一步展示了MIMO雷达系统的优越性能。

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