Convex Optimization Algorithm For Wireless Localization By Using Hybrid Rss And Aoa Measurements

BROADBAND COMMUNICATIONS, NETWORKS, AND SYSTEMS(2019)

引用 2|浏览13
暂无评分
摘要
With the development of new array technology and smart antenna, it is easier to obtain the angle of arrival (AOA) measurements. The hybrid received signal strength (RSS) and AOA measurement techniques are proposed for the wireless localization in the paper. By converting the measurement equations and relaxing the optimization function, a second order cone programming and semidefinite programming (SOCPSDP) algorithm is put forward to obtain the position estimate by considering the known or unknown transmit power. The proposed SOCPSDP algorithm provides a solution to the source position estimate and avoids the initialization process. The simulations show that the SOCPSDP algorithm performs better than the semidefinite programming (SDP) algorithm. The accuracy performance of the proposed SOCPSDP algorithm degrades as the measurement noises increase.
更多
查看译文
关键词
` Wireless localization, Received signal strength, Angle of arrival, Convex optimization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要