Maximum likelihood angle of arrival estimation using least mean squares technique

Sanjay Mirchandani, C. Rawat, Aurobindo Krishnan, A. Agarwal, G. Isola, Vulchi Sivaprasad
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引用次数: 1

Abstract

Maximum likelihood method is an adaptive beam-forming approach for estimating the angle of arrival of the target. A search is performed over all possible angle of arrivals and a suitable direction is selected such that is gives the highest probability of declaring a target to be present. Least mean squares technique is used for updating the maximum likelihood weights adaptively. It is shown that the maximum likelihood method provides improved angle accuracy by reducing the weight error.
用最小均方技术估计最大似然到达角
极大似然法是一种估计目标到达角的自适应波束形成方法。在所有可能的到达角度上进行搜索,并选择一个合适的方向,使目标出现的概率最高。采用最小均二乘法自适应更新最大似然权值。结果表明,最大似然法通过减小权值误差,提高了角度精度。
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