论文标题
电磁干扰的RIS设计用于CRB优化源定位
RIS Design for CRB Optimization in Source Localization with Electromagnetic Interference
论文作者
论文摘要
可重新配置的智能表面（RIS）在增强源定位精度方面起着重要作用。基于Fisher信息分析的信息不平等，可以使用定位误差的CRAMér-RAO BOND（CRB）来评估给定的RIS系数集合的定位精度。在本文中，我们采用了歧管优化方法来得出最佳的RIS系数，这些系数将定位误差的CRB最小化，并存在电磁干扰（EMI），其中RIS系数仅限于复杂圆圈歧管上。提供模拟结果以验证各种情况下拟议的研究。
Reconfigurable Intelligent Surface (RIS) plays an important role in enhancing source localization accuracy. Based on the information inequality of Fisher information analyses, the Cramér-Rao Bound (CRB) of the localization error can be used to evaluate the localization accuracy for a given set of RIS coefficients. In this paper, we adopt the manifold optimization method to derive the optimal RIS coefficients that minimize the CRB of the localization error with the presence of electromagnetic interference (EMI), where the RIS coefficients are restricted to lie on the complex circle manifold. Simulation results are provided to validate the proposed studies under various circumstances.
