Abstract
A cooperative estimation algorithm is proposed for mutli-sensor networks with imprecise measurements caused by electromagnetic interferences, abnormal currents and other faults in the multi-sensor measurement process. Adaptive schemes based on a reference model are introduced to overcome the adverse effects of multiplicative interference on the estimated information. Then, rigorous theoretical proofs are developed to analyze the adaptive estimation algorithm. Finally, numerical simulation results are carried out to verify the effectiveness of the theoretical analysis.
Highlights
Due to the easy deployment, cost-effective, flexible, reliable and accurate characteristics, sensor networks are widely used [1,2], such as civil monitoring [18], indoor and outdoor environment monitoring [14,15,16,17], fire detection [19], traffic condition detection [20][25] and health monitoring [21]
This paper proposes an adaptive measurement method with a reference model based on the traditional multi-sensor distributed estimation algorithms, which can effectively overcome the adverse effects of multiplicative interference factor on the measurement results
This article aims to design an adaptive algorithm with a reference model to overcome the influence of multiplicative interference factor bbii on the system, so that the estimation result of each sensor can converge to the average of all sensor measurement values, that is, lim tt→∞
Summary
Due to the easy deployment, cost-effective, flexible, reliable and accurate characteristics, sensor networks are widely used [1,2], such as civil monitoring [18], indoor and outdoor environment monitoring [14,15,16,17], fire detection [19], traffic condition detection [20][25] and health monitoring [21]. To solve this problem, some scholars have given different solutions from various perspectives. Note that most of the existing research results on cooperative estimations for multi-sensor networks rarely take the multiplicative fault into account, especially the fault that will lead to the reverse estimation direction. In this regard, this paper proposes an adaptive measurement method with a reference model based on the traditional multi-sensor distributed estimation algorithms, which can effectively overcome the adverse effects of multiplicative interference factor on the measurement results
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