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Based on CS Distributed Multi-carrier MIMO HF Radar Signal Processing

机译:基于CS的分布式多载波MIMO HF雷达信号处理

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摘要

This paper applied the distributed multi-carrier MIMO radar model to HF radar, widely separate the antennas. For high frequency band electromagnetic interference seriously, the model selects the silent band, emitting orthogonal frequency phase-encoded signal. We deduce the echoes expression of the distributed multi-carrier radar system, and analyze the resolution of the model. For the received antennas it is difficult to combination the echoes power from widely arranged transmitters, because of the same target has different time delay and Doppler frequency in different channels under angle and frequency diversity system. So, the echo energy accumulation is the key issue. The compressed sensing theory is applied to this model, by constructing over complete target information dictionary, estimates the reflection coefficient of all the components, integrated the entire energy in different channels. It is successful to solve the physical layer signal fusion, taken advantage of different angle echo information, enhanced system resolution and weak target detection capability, and overcomes HF target RCS scintillations. The model improves the performance of HF radar system and the freedom of time and space, frequency management, and the serious interference environment survivability.
机译:本文将分布式多载波MIMO雷达模型应用于HF雷达,广泛分离天线。对于严重的高频段电磁干扰,该模型选择了无声频段,发出正交频率的相位编码信号。我们推导了分布式多载波雷达系统的回波表达式,并分析了模型的分辨率。对于接收的天线,由于角度和频率分集系统下同一目标在不同信道中具有不同的时间延迟和多普勒频率,因此很难组合来自广泛布置的发射机的回波功率。因此,回声能量积累是关键问题。通过构造完整的目标信息字典,估计所有组件的反射系数,将不同通道中的整个能量进行积分,将压缩传感理论应用于该模型。利用不同角度的回波信息,增强的系统分辨率和较弱的目标检测能力,成功解决了物理层信号融合问题,克服了HF目标RCS闪烁问题。该模型提高了HF雷达系统的性能,并改善了时空自由度,频率管理和严重的干扰环境生存能力。

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