An Indoor Collaborative Coefficient-Triangle APIT Localization Algorithm
Su-Ting Chen,
Chuang Zhang,
Peng Li,
Yan-Yan Zhang,
Liang-Bao Jiao
Affiliations
Su-Ting Chen
CICAEET, School of Electronic & Information Enginnering, Nanjing University of Information Science & Technology, Nanjing 210044, China
Chuang Zhang
Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science & Technology, Nanjing 210044, China
Peng Li
CICAEET, School of Electronic & Information Enginnering, Nanjing University of Information Science & Technology, Nanjing 210044, China
Yan-Yan Zhang
Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science & Technology, Nanjing 210044, China
Liang-Bao Jiao
Department of Telecommunications Engineering, Nanjing Institute of Technology, Nanjing 211167, China
The Approximate Point-In-Triangulation (APIT) localization algorithm is a widely used indoor positioning technology due to its simplicity and low power consumption. However, in practice, In-to-Out misjudgments exist regularly in APIT, and a considerable amount of nodes cannot be positioned due to the low node density. To tackle this issue, a Collaborative Coefficient-triangle APIT Localization (CCAL) algorithm is proposed. Firstly, an effective triangle criterion is put forward to reduce the probability of In-to-Out misjudgment and reduce the computational complexity. Then, a further Received Signal Strength Indicator (RSSI) location and weighted triangle coordinate calculation method is adopted to reduce the positioning error. Meanwhile, the idea of iterative collaborative positioning of the positioned unknown nodes is introduced to remarkably expand the localization coverage rate. Simulation results show that the proposed algorithm outperforms APIT, RSSI, and other improved algorithms in terms of both node location error and localization coverage rate.
