A main user positioning method based on sensor and quantum intelligent computing

The present invention discloses a main user positioning method based on sensor and quantum intelligent computing, which is achieved based on a wireless sensor network assisting a cognitive radio network, and includes the following steps: step 1, a network deploy stage; step 2, a positioning information collecting stage; step 3, a distance measurement stage, wherein a data fusion center averages the sampled signal strength as a received signal strength RSS of an anchor node, and estimates the distance between a main user and the anchor node according to the RSS in a lognormal shadow path loss wireless broadcasting environmental model; and step 4, a positioning stage, wherein the positioning problem is converted into an optimization problem, and the optimization problem is solved by using a quantum genetic simulated annealing algorithm, thereby achieving positioning the location of the main user in a two-dimensional space. On the premise that a good positioning performance is ensured, the present invention can achieve the effect of reducing complexity of the algorithm and saving the energy consumption of the battery at the same time; and accurate location information of the main user can be obtained via the positioning method based on the quantum genetic simulated annealing algorithm.