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Improved finite samples resampling for unbiased wide-band direction of arrival estimation

机译:改进的有限样本重采样,可实现无偏宽带到达方向估计

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This paper considers wide-band DOA estimation using the spatial resampling method forcoherent averaging. In this paper a rough estimate of the resampling error distribution is obtained.Careful examination of this distribution yields an improved resampling formula suitable for, but notlimited to, arrays with finite sensors. It is shown that the proposed formula yields resampling errormuch less than that of conventional resampling. Moreover it is shown how the resampling error can bemore reduced by proper choice of the focusing frequency. Based on the this resampling formula aperfect focusing scheme is then proposed and its performance is evaluated and compared to otherwide-band methods through simulations. Simulations showed quite satisfactory and robust perform-ance of the proposed scheme. It was shown that it succeeds in situations where all considered wide-band methods fail. In addition it is bias-free and can be implemented quite efficiently. Hence it is quitesuitable for reliable real-time DOA estimation in reverberant environments.
机译:本文考虑了使用空间重采样方法进行相干平均的宽带DOA估计。本文对重采样误差分布进行了粗略估算,仔细检查该分布可得出一种改进的重采样公式,适用于但不限于带有有限传感器的阵列。结果表明,所提出的公式产生的重采样误差比常规重采样的误差小得多。此外,还示出了如何通过适当选择聚焦频率来进一步减小重采样误差。在此重采样公式的基础上,提出了一种完美的聚焦方案,并对其性能进行了评估,并通过仿真与其他宽带方法进行了比较。仿真表明,该方案具有令人满意的性能。结果表明,在所有考虑的宽带方法均失败的情况下,该方法可以成功。此外,它是无偏差的,可以非常有效地实施。因此,它非常适合混响环境中可靠的实时DOA估计。

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