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Maximum likelihood estimate of the coordinates of wideband noise sources in the case of unknown spectral densities of the signal and the noise

机译:在信号和噪声的频谱密度未知的情况下,宽带噪声源的坐标的最大似然估计

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摘要

We propose a method of obtaining the maximum likelihood estimate of the coordinates (the bearing, in a special case) of a wideband Gaussian noise source in the presence of background interference which is uncorrelated at the elements of the antenna array. The method is adapted to unknown spectral densities of the noise and the signal produced by the source. The Cramer - Rao bound is constructed, which characterize the variance of the coordinate estimate. Empirical estimates of the variance are compared with the Cramer - Rao boundary and the empirical variance estimates by the method of numerical simulation in the case of routine summation of the power values in the frequency channels. It is shown that when the spectral densities of the noise and the signal differ considerably, the proposed method ensures a much better accuracy. It is also shows that the influence of weak correlation of the noise at the receiver elements is insignificant.
机译:我们提出了一种在背景干扰存在的情况下获得宽带高斯噪声源的坐标(在特殊情况下,方位)的最大似然估计的方法,该背景干扰在天线阵列的各个元素上不相关。该方法适用于噪声和信号源产生的信号的未知频谱密度。构造了Cramer-Rao界,它表征了坐标估计的方差。在频率信道的常规功率值求和的情况下,通过数值模拟的方法将方差的经验估计与Cramer-Rao边界和经验方差估计进行比较。结果表明,当噪声和信号的频谱密度相差很大时,所提出的方法可以保证更好的精度。还表明,在接收器元件处噪声的弱相关性的影响是微不足道的。

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