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Target modeling, antenna array design and conventional beamforming algorithms for radar target DOA estimation

机译:用于雷达目标DOA估计的目标建模,天线阵列设计和常规波束成形算法

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Collision avoidance systems for Unmanned Aerial Vehicle (UAV) use ultrasonic or radio wave radar equipment, for target detection. In direction-of-arrival (DOA) antenna array estimation, the direction of a signal is usually assumed to be a point. The article analyze the Uniform Linear Array(ULA) and Minimum Redundancy Array (MRA) beamforming arrays taken into account the mutual coupling between the antenna array elements. Simulation is performed for real antenna arrays and is shown that the sidelobe level is increasing for each array but for MRA the symmetry also distorted. Therefore for adaptive antenna applications is especially important the compensation of mutual coupling of antennas. Conventional beamformer (BF), Capon (CP), MUSIC and sample matrix inversion (SMI) based on particle filter are investigated and compared. In this paper, we consider aerial vehicle backscatter using ray tracing method and DOA estimation when the signal sources are distributed. Model for distributed source is proposed, and estimation methods are considered under this models.
机译:无人机防撞系统使用超声波或无线电波雷达设备进行目标检测。在到达方向(DOA)天线阵列估计中,通常将信号的方向假定为一个点。本文分析了考虑天线阵列元件之间相互耦合的统一线性阵列(ULA)和最小冗余阵列(MRA)波束成形阵列。对真实的天线阵列进行了仿真,结果表明,每个天线阵的旁瓣电平都在增加,但对于MRA,对称性也会失真。因此,对于自适应天线应用而言,天线相互耦合的补偿尤为重要。对传统的波束形成器(BF),Capon(CP),MUSIC和基于粒子滤波器的样本矩阵求逆(SMI)进行了研究和比较。在本文中,当信号源被分配时,我们考虑了使用射线追踪方法和DOA估计的飞行器后向散射。提出了一种分布式源模型,并在此模型下考虑了估计方法。

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