Abstract This study proposes a new estimation philosophy i.e. Maximum Correlation Coefficient Estimation (MCORE) which defines a totally new objective function for received signal strength (RSS) based target localization. The transmit power and the path loss exponent can be simultaneously unknown in case of non-cooperative scenarios and instable environmental factors, which makes RSS based localization a challenging task. Previous studies depend on maximizing likelihood or posterior functions, minimizing nonlinear or weighted least squares objective functions and finally simplified or linearized versions of these methods. Unlike these studies, MCORE suggests to maximize the correlation coefficient between the measured and the estimated RSS values while estimating the location of the target. With MCORE, localization can be performed without having to determine the transmit power of the source and the path loss exponent. Simulations show that MCORE and Fast MCORE (fast version of MCORE proposed for stationary sensors) attain Cramer Rao Lower Bound with dramatically reduced execution times. Experiments with Xbee Modules and Keysight Handheld Analyzer show that MCORE is a feasible method for real RSS data. Finally, an important simulation about RSS based aircraft localization is presented to show that MCORE is quite successful in three dimensional RSS based localization.

中文翻译：

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最大相关系数估计 (MCORE)：基于 RSS 的目标定位的新估计哲学

摘要 本研究提出了一种新的估计原理，即最大相关系数估计（MCORE），它为基于接收信号强度（RSS）的目标定位定义了一个全新的目标函数。在非合作场景和不稳定环境因素的情况下，发射功率和路径损耗指数可能同时未知，这使得基于 RSS 的定位成为一项具有挑战性的任务。以前的研究依赖于最大化似然或后验函数，最小化非线性或加权最小二乘目标函数，最后是这些方法的简化或线性化版本。与这些研究不同，MCORE 建议在估计目标位置的同时最大化测量和估计 RSS 值之间的相关系数。有了 MCORE，无需确定源的发射功率和路径损耗指数即可执行定位。模拟表明，MCORE 和 Fast MCORE（为固定传感器提议的 MCORE 的快速版本）达到 Cramer Rao 下界，并显着减少了执行时间。Xbee 模块和 Keysight Handheld Analyzer 的实验表明，MCORE 是一种用于真实 RSS 数据的可行方法。最后，对基于RSS 的飞机定位进行了重要的模拟，表明MCORE 在基于RSS 的三维定位中非常成功。Xbee 模块和 Keysight Handheld Analyzer 的实验表明，MCORE 是一种用于真实 RSS 数据的可行方法。最后，对基于RSS 的飞机定位进行了重要的模拟，表明MCORE 在基于RSS 的三维定位中非常成功。Xbee 模块和 Keysight Handheld Analyzer 的实验表明，MCORE 是一种用于真实 RSS 数据的可行方法。最后，对基于RSS 的飞机定位进行了重要的模拟，表明MCORE 在基于RSS 的三维定位中非常成功。