In this paper, a passive localization of the emitter using noisy angle-of-arrival (AOA) measurements, called Brown DWLS (Distance Weighted Least Squares) algorithm, is considered. The accuracy of AOA-based localization is quantified by the mean-squared error. Various estimates of the AOA-localization algorithm have been derived (Doğançay and Hmam, 2008). Explicit expression of the location estimate of the previous study is used to get an analytic expression of the mean-squared error (MSE) of one of the various estimates. To validate the derived expression, we compare the MSE from the Monte Carlo simulation with the analytically derived MSE.

中文翻译：

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LS方法基于AOA的定位性能分析：均方误差的明确表示

在本文中，考虑了使用噪声到达角（AOA）测量进行辐射源的无源定位，称为布朗DWLS（距离加权最小二乘）算法。基于AOA的定位精度由均方误差量化。已经得出了对AOA定位算法的各种估计（Doğançay和Hmam，2008年）。先前研究的位置估计值的显式表达式用于获得各种估计值之一的均方误差（MSE）的解析表达式。为了验证派生表达式，我们将蒙特卡洛模拟中的MSE与解析派生的MSE进行了比较。