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Direction and polarization estimation using quaternion and polarization rotation matrix

机译:四元数和极化旋转矩阵的方向和极化估计

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Estimation of directions-of-arrival (DOAs) and polarization parameters of incident signals needs a high-dimensional searching process with long-vector methods, which results in tremendous computational load. To overcome this disadvantage, this paper proposes a novel algorithm using quaternion and polarization rotation matrix on the basis of a uniform circular array (UCA) which is composed of cocenterd orthogonal loop and dipole (COLD) pairs. First, a quaternion mode is set and polarization parameters are separated from the array manifold. Then, DOA parameters are acquired using a two-dimensional searching process. Meanwhile, based on long-vector mode, a polarization rotation matrix is constructed, and closed-form estimation of polarization parameters is obtained. The presented algorithm has a large reduction in computational effort and an obvious improvement in precision for DOA estimation under low signal-to-noise (SNR) ratio. The effectiveness is confirmed through computer simulation.
机译:估计入射信号的到达方向(DOA)和偏振参数需要使用长矢量方法进行高维搜索,这会导致巨大的计算量。为了克服这个缺点,本文提出了一种基于四元数和极化旋转矩阵的新算法,该算法基于由共心正交环和偶极(COLD)对组成的均匀圆形阵列(UCA)。首先,设置四元数模式,并从阵列歧管中分离出极化参数。然后,使用二维搜索过程获取DOA参数。同时,基于长矢量模式,构造了偏振旋转矩阵,并获得了偏振参数的闭合形式估计。提出的算法在信噪比低的情况下,DOA估计的计算量大大减少,并且精度明显提高。通过计算机仿真确认了有效性。

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