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A novel joint parameter estimation method based on fractional ambiguity function in bistatic multiple-input multiple-output radar system

机译:双分数多输入多输出雷达系统中基于分数模糊函数的联合参数估计新方法

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摘要

Due to the three dimensional motion characteristics of the target, the received scattering signal often contains a cubic term in its phase function. The existing signal model is not appropriate to approximate parameters in this case. In this paper, we propose a new signal model to accurately estimate parameters of the target. We use a novel approach, the fractional ambiguity function, to estimate Doppler frequency parameters in the fractional Fourier transform domain. Furthermore, we also develop two sub-array models to accurately estimate the direction-of-departure and direction-of-arrival by employing the proposed fractional cross-ambiguity function based MUSIC (FCAF-MUSIC) algorithm and the fractional cross-ambiguity function based ESPRIT (FCAF-ESPRIT) algorithm. Simulation results are presented to verify the effectiveness of the proposed method.
机译:由于目标的三维运动特性,接收到的散射信号通常在其相位函数中包含一个三次项。在这种情况下,现有的信号模型不适用于近似参数。在本文中,我们提出了一种新的信号模型来准确估计目标参数。我们使用分数歧义函数这种新颖的方法来估计分数傅立叶变换域中的多普勒频率参数。此外,我们还开发了两个子阵列模型,分别采用提出的基于分数交叉歧义函数的MUSIC(FCAF-MUSIC)算法和基于分数交叉歧义函数的准确估计出发方向和到达方向ESPRIT(FCAF-ESPRIT)算法。仿真结果表明了该方法的有效性。

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