Research Of Blind Signal Detection In WSN For Intelligent Greenhouse

The efficiency of traditional way of agricultural production is low and the quality of which is also very poor.As a new type of agricultural production technology,intelligent greenhouse is replacing traditional agricultural production gradually.The intelligent greenhouse can collect all information data of the growing environment of the crops in a very effectively way.Wireless Sensor Network(WSN)is a new transmission technology which deployed sensor nodes on a large scale,the required information is collected periodically,and then sent to the data processing center,thus the intelligent greenhouse can be built based on the WSN.On the basis of the characteristics of sensor nodes is out of battery life,save energy consumption has become one of the basic design of WSN.Blind equalization and blind detection technology do not need training sequence,it can save energy efficiently,the technology has great application prospects in WSN.In this paper by the national natural science fund project(project approval number: 61302155)support,following innovative works have been done based on the previous achievements:1)It is the first time to apply the Quantum ant colony optimization and cross correlation algorithm onto the cluster blind detection system within WSN of the intelligent greenhouse.Algorithm flow: First scramble the transmission signal of all sensor nodes in the cluster to make them interdependence from each other,blind detect the signal after the datum sensor node is scrambled to restore the transmission signal and estimate the channel by applying the quantum ant colony algorithm;Second restore the transmission channel of other sensor nodes by the high correlation between the nodes of each sensor in the cluster,restore the transmission signal of other sensor nodes by using the estimated channel and the descrambler.2)In order to remove the disadvantage of reference sensor-based quantum ant colony optimization blind detection algorithm,there are below three improvements to optimize the system which can make the blind detection better,and it has been proved that efficiency of blind detection system improved a lot by using the enhanced system.1.To improve the efficiency of the algorithm,use the characteristics of the ergodicity and regularity of chaos to initialize the chaos and adjust the pheromone of each path,then guide ant to select path;2.Hadamard matrix is used to implement the mutation process,not only realized the position exchange of two quantum bits of quantum bits,but also changed the quantum amplitude and enlarges the diversity of the population,thus,the probability of the global optimal search is increased.3.The way of qubit encoding has been improved by narrowing down the range of qubit phase and introducing the adjustment factor when encoding,this is to make up for the defects of reducing the probability of the optimal search by reducing the coding space and improve the convergence speed of the algorithm.