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Improving the projection method for TOA source localization in the presence of sensor position errors

机译:在存在传感器位置误差的情况下改进用于TOA源定位的投影方法

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This paper develops a closed-form solution that improves the projection matrix method for time of arrival (TOA) source localization in the presence of sensor position inaccuracy. The projection approach is attractive because it does not require the use of an extra variable as in the traditional closed-form solution. Compared with the previous projection method, the proposed algorithm offers a closed-form solution and at the same time attains the Cramer-Rao lower bound (CRLB) performance for Gaussian noise over the small noise region. The performance of the proposed method is validated by simulations.
机译:本文开发了一种封闭形式的解决方案,该解决方案在存在传感器位置不准确的情况下改进了到达时间(TOA)源定位的投影矩阵方法。投影方法之所以具有吸引力,是因为它不需要像传统的封闭式解决方案那样使用额外的变量。与先前的投影方法相比,所提出的算法提供了一种封闭形式的解决方案,同时在小噪声区域上获得了高斯噪声的Cramer-Rao下界(CRLB)性能。仿真结果验证了所提方法的性能。

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