不同相关度下的到达方向跟踪

Sherif Elsanadily, H. E. A. Badr, Z. Nossair, Osama M. Elghandour
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引用次数: 0

摘要

蜂窝网络中的跟踪装置或跟踪雷达倾向于在单个快照中具有估计的协方差矩阵来估计运动目标的下一个方向。它们在目标不相关时的跟踪方面取得了巨大的成功。最近的研究提出了利用对称均匀线性阵列在不同未知衰落条件下估计静止目标到达方向(DOA)的通缩方法。本文提出了一种基于自适应信号处理的改进压缩方法,以实现不同相关程度下运动目标的DOA跟踪能力。计算机仿真结果验证了所提方法的理论分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Direction of Arrival Tracking under Various Degrees of Correlation
The tracking devices in the cellular networks or the tracking radars prefer to have an estimated covariance matrix in a single snapshot to estimate the next direction of the moving target.They have achieved great success in tracking when the targets are uncorrelated. Recent research provides the deflation approach to estimate the direction of arrival (DOA) of stationary targets by using symmetric uniform linear arrays (ULAs) under different unknown fading conditions. In this paper, a modified deflation approach using an adaptive signal processing is proposed to achieve DOA tracking capability for moving targets under various degrees of correlation. Computer simulation results are provided to verify the theoritical analysis of the proposed method.
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