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Joint DOD and DOA Estimation for Bistatic MIMO Radar in the Presence of Combined Array Errors

机译:在组合阵列误差存在下,对双语MIMO雷达的联合国防部和DOA估计

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摘要

In this paper, we investigate into joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation for bistatic multiple-input multiple-output (MIMO) radar in the presence of gain-phase error and mutual coupling error. An auxiliary sensors-based framework is proposed, the matched array measurement of the MIMO radar is formulated as a parallel factor (PARAFAC) model, which links the problem of joint DOD and DOA estimation to PARAFAC decomposition. Thereafter, the DODs and DOAs are obtained via least square strategy. The proposed method is computationally more efficient than the existing reduced-MUSIC method. Besides, it can achieve closed-form solutions for DODs and DOAs, which are paired automatically. Numerical experiments demonstrate the effectiveness of our method.
机译:在本文中,我们在存在增益相位误差和相互耦合误差的情况下调查了对偏离的联合方向(DOD)和到达方式(DOA)估计,对BISTOG多输入多输出(MIMO)雷达。提出了一种基于辅助传感器的框架,将MIMO雷达的匹配阵列测量标配制为平行因子(PARAFAC)模型,这将联合国防部和DOA估计的问题联系起来对PARAFAC分解。此后,通过最小二乘策略获得国防部和DOA。所提出的方法是比现有的减少音乐方法更有效的。此外,它可以实现DODS和DOAS的封闭式解决方案,它自动配对。数值实验证明了我们方法的有效性。

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