A parameter estimation method for binary sensor networks

A sensor network and parameter estimation algorithm technology, applied in network topology, data exchange network, transmission system, etc., can solve the problem of poor parameter estimation performance of binary sensor network, achieve good robustness and practicability, good convergence The effect of reducing the cost of use
CN109039720AActive Publication Date: 2018-12-18STATE GRID FUJIAN ELECTRIC POWER CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
STATE GRID FUJIAN ELECTRIC POWER CO LTD
Publication Date
2018-12-18

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Abstract

A parameter estimation method for binary sensor networks is provided. A binary sensor node is used to replace the traditional high-precision sensor node, the on-line estimation of unknown parameters is realized by using a 1-bit measurement value, based on sparse penalty maximum likelihood optimization, combining with expectation maximization EM and least mean square LMS, and taking into account the sparsity of unknown parameters, the accuracy of binary sensor network parameters is estimated, which effectively reduces the use cost of sensors, and has good robustness and practicability.
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Description

technical field

[0001] The invention relates to the field of wireless sensor networks, in particular to a parameter estimation method for binary sensor networks. Background technique

[0002] Wireless sensor network is a distributed network system composed of a large number of spatially distributed sensor nodes, which can coordinate real-time monitoring, perception and collection of various environmental information in the network area, which is of great significance in the fields of environmental monitoring, military defense and target tracking. and broad application prospects. Based on the measured values ​​of different sensor nodes, it is an important application of wireless sensor networks to realize accurate estimation of unknown parameters of physical quantities of interest. In a sensor network, each sensor node usually has limited computing, communication and storage capabilities, and the performance and cost of the nodes used in the sensor network are different. ...

Claims

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