Adaptive channel selection for DOA estimation in MIMO radar

Adaptive channel selection for DOA estimation in MIMO radar
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MIMO 雷达中 DOA 估计的自适应信道选择

DOI：
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发表时间：
2017
期刊：
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
影响因子：
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通讯作者：
S. Brüggenwirth
S. Brüggenwirth
中科院分区：
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文献类型：
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作者：
David Mateos;M. González;Renato Simoni;S. Brüggenwirth

文献摘要

被引文献

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我们提出了自适应天线选择的时域复用MIMO雷达与线性阵列的背景下的战略。特别地，我们考虑了窄带远场源的到达方向（DoA）的估计。为此，我们提出了一种自适应传感策略，使用一步提前预测的贝叶斯MSE使用一个家庭的Weiss-Weinstein界限，取决于以前的测量。我们在模拟中比较所得到的算法，包括政策，优化Bobrovsky-Zakaetsky界和预期的Cramér-Rao界，并显示不同水平的测量噪声的性能。
We present strategies for adaptive antenna selection in the context of Time Domain Multiplexing MIMO radar with linear arrays. In particular, we consider the estimation of the Direction of Arrival (DoA) for a narrowband far-field source. To this end, we propose an adaptive sensing strategy that uses one-step ahead predictions of the Bayesian MSE using a family of Weiss-Weinstein bounds that depend on previous measurements. We compare in simulations the resulting algorithms, including policies that optimize the Bobrovsky-Zakaï bound and the Expected Cramér-Rao bound, and show the performance for different levels of measurement noise.