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DOA Estimation Using Multipath Echo Power for MIMO Radar in Low-Grazing Angle

机译:低掠角下基于多径回波功率的MIMO雷达DOA估计

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摘要

In this paper, we propose a novel direction of arrival estimation algorithm for multi-input multi-output radar in a low-grazing angle (LGA) condition. Considering the effect of earth curvature and atmosphere, we derive the received signal model based on the assumption that the waveforms are transmitted by widely spaced sensors and received by some separated uniform linear arrays (ULAs). In order to use the multipath echo power, the proposed algorithm can select the best transmitter multipath reflected coefficients by optimizing the virtual transmitter signal, remove the coherency by improved spatial smoothing method and select the best receiver multipath reflected coefficients by peaks searching method. As a result, the algorithm can avoid the attenuation caused by different multipath reflected coefficients and targets glint, resulting from the spatial diversity for transmitter sensors and receiver subarrays. Simulation results show that, in LGA, the proposed algorithm can achieve performance improvements for the realistic LGA model, and also with the increase of the transmit sensors and ULAs or compared with other recently developed methods.
机译:在本文中,我们为低掠角(LGA)条件下的多输入多输出雷达提出了一种新的到达方向估计算法。考虑到地球曲率和大气的影响,我们基于以下假设得出接收信号模型:波形是由间隔较大的传感器发送并由一些分离的均匀线性阵列(ULA)接收的。为了利用多径回波功率,该算法可以通过优化虚拟发射机信号来选择最佳的发射机多径反射系数,通过改进的空间平滑方法消除相干性,并通过峰值搜索法选择最佳的接收机多径反射系数。结果,该算法可以避免由于发射器传感器和接收器子阵列的空间分集而导致的不同多径反射系数和目标闪烁造成的衰减。仿真结果表明,在LGA中,所提出的算法可以提高实际LGA模型的性能,并且随着发射传感器和ULA的增加或与其他最近开发的方法相比,该算法得以实现。

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