Abstract

In this paper, a novel adaptive algorithm to detect and track targets with low grazing angle is addressed. For this purpose, an orthogonal frequency division multiplexing (OFDM) radar signal is employed through an edge computing framework over the radar platform. However, detecting the targets in the low grazing angle area is a great challenge due to severe multipath reflection effects. The Earth’s curvature geometry model is presented as the multipath propagation model. Based on the fact that the different scattering centers of a target resonate at different frequencies, we use the optimized OFDM waveform and propose a novel target tracking procedure for low grazing angle target tracking scenarios. The obtained results show that using an OFDM radar waveform provides a more uniform detection coverage in the presence of multipath propagation such that this will fill in the nulls. Finally, simulations are used to compare the performance of the proposed OFDM waveform with the conventional equal-power, the generalized likelihood ratio (GLR)-based and single-carrier waveforms.

中文翻译：

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基于OFDM雷达的低掠角目标跟踪边缘计算框架

摘要

在本文中，提出了一种新颖的自适应算法来检测和跟踪低掠角目标。为此，通过雷达平台上的边缘计算框架采用了正交频分复用（OFDM）雷达信号。然而，由于严重的多径反射效应，在低掠角区域检测目标是一个巨大的挑战。地球的曲率几何模型表示为多径传播模型。基于目标的不同散射中心在不同的频率下谐振的事实，我们使用优化的OFDM波形并针对低掠角目标跟踪场景提出了一种新颖的目标跟踪程序。获得的结果表明，在存在多径传播的情况下，使用OFDM雷达波形可提供更均匀的检测覆盖范围，从而将其填充为零。最后，通过仿真将提议的OFDM波形与常规的等功率，基于广义似然比（GLR）的单载波波形进行比较。