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MIMO Radar Moving Target Detection in Homogeneous Clutter

机译:均质杂波中的MIMO雷达运动目标检测

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摘要

A multiple-input multiple-output (MIMO) radar approach employing widely dispersed transmit and receive antennas is studied for the detection of moving targets. The MIMO radar transmits orthogonal waveforms from the different transmit antennas so these waveforms can be separated at each receive antenna. For a moving target in colored Gaussian noise-plus-clutter, we quantify the gains from having widely dispersed antennas that allow the overall system to "view" the target simultaneously from several different directions. The MIMO radar performance is contrasted with that of a traditional phased-array approach, which employs closely spaced antennas for this purpose. The MIMO radar approach is well suited to handle targets that have small radial velocities for scenarios in which colocated sensors cannot separate the target from the background clutter. Both a centralized processing and a simple distributed processing form of the MIMO radar approach are developed and studied, and the gains from the centralized version, which come at the price of additional complexity, are clearly demonstrated and explained intuitively. The constant false alarm rate (CFAR) property of an adaptive version of the MIMO moving target detector is also demonstrated for homogeneous clutter.
机译:研究了使用广泛分布的发射和接收天线的多输入多输出(MIMO)雷达方法,用于检测运动目标。 MIMO雷达从不同的发射天线发射正交波形,因此可以在每个接收天线处分离这些波形。对于彩色高斯噪声加杂波中的移动目标,我们对天线分布广泛的增益进行了量化,这些天线使整个系统可以同时从几个不同的方向“观察”目标。 MIMO雷达的性能与传统相控阵方法的性能形成对比,传统相控阵方法为此目的采用了间隔较近的天线。 MIMO雷达方法非常适合于处理径向半径较小的目标,以用于共置传感器无法将目标与背景杂波分开的情况。开发并研究了MIMO雷达方法的集中处理和简单的分布式处理形式,并且直观地展示和解释了以集中化版本的收益为代价,这些收益是以增加复杂性为代价的。 MIMO移动目标检测器的自适应版本的恒定误报率(CFAR)属性也针对均匀杂波进行了演示。

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