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Target Detection in Low Grazing Angle with Adaptive OFDM Radar

机译:具有自适应OFDM雷达的低放牧角度的目标检测

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摘要

Multipath effect is the main factor of deteriorating target detection performance in low grazing angle scenario, which results from reflections on the ground/sea surface. Amplitudes of the received signals fluctuate acutely due to the random phase variations of reflected signals along different paths; thereby the performances of target detection and tracking are heavily influenced. This paper deals with target detection in low grazing angle scenario with orthogonal frequency division multiplexing (OFDM) radar. Realistic physical and statistical effects are incorporated into the multipath propagation model. By taking advantage of multipath propagation that provides spatial diversity of radar system and frequency diversity of OFDM waveform, we derive a detection method based on generalized likelihood ratio test (GLRT). Then, we propose an algorithm to optimally design the transmitted subcarrier weights to improve the detection performance. Simulation results show that the detection performance can be improved due to the multipath effect and adaptive OFDM waveform design.
机译:多径效应是低放牧角度场景中目标检测性能恶化的主要因素,这由地面/海面的反射产生。由于沿不同路径的反射信号的随机相位变化,所接收信号的幅度急剧地波动;由此,目标检测和跟踪的性能受到严重影响。本文涉及具有正交频分复用(OFDM)雷达的低放牧角度场景的目标检测。将现实的物理和统计效果纳入多径传播模型。通过利用提供雷达系统的空间分集和OFDM波形的频率分集的多径传播,我们导出了一种基于广义似然比测试(GLRT)的检测方法。然后,我们提出了一种算法来最佳地设计发送的子载波权重,以提高检测性能。仿真结果表明,由于多径效应和自适应OFDM波形设计,可以提高检测性能。

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