A hybrid TOA/AOA positioning method based on GDOP-weighted fusion and its Accuracy Analysis

Whereas the existing TOA/AOA positioning algorithm based on wireless sensor network fails to consider position error of anchor node(AN) so as to affect the positioning accuracy, this paper proposes a hybrid TOA/AOA positioning algorithm based on GDOP-weighted fusion (G--TOA/AOA). The paper deduces Geometric Dilution of Precision (GDOP) of TOA/AOA positioning method based on single node (S-TOA/AOA). G-TOA/AOA algorithm utilizes GDOP of S-TOA/AOA to give corresponding weight to various rough estimates of blind node(BN), and weighted merge all rough estimates as position estimate of BN. Meanwhile, the paper deduces GDOP calculation formula of G-TOA/AOA algorithm. In the two different types of distribution situation of ANs, the paper analyzes the positioning accuracy of G-TOA/AOA algorithm. Simulation results show that positioning accuracy of G-TOA/AOA algorithm is superior to average weighted positioning algorithm and the positioning performance of G-TOA/AOA algorithm is better when ANs are in non-collinear distribution situation.