Method and system for constructing a source localization efficient estimator based on hybrid measurement information

Abstract

The application discloses a construction method and system of a source positioning high-efficiency estimator based on mixed measurement information, and the method steps comprise the following steps: constructing a mixed information non-negative constraint least square framework based on an analysis sensor in a wireless sensor network; obtaining a rough suboptimal estimation based on the mixed information non-negative constraint least square framework; and completing the construction of the high-efficiency estimator based on the rough suboptimal estimation. The original non-convex optimization problem is converted into a non-negative constraint least square framework through linearization calculation. The suboptimal estimation is obtained through the index exchange process between the active set and the passive set by using the linear solution. Meanwhile, in order to reduce the deviation caused by linearization and refine the estimation obtained by linear solution, a deviation reduction method is used, a weighted instrumental variable matrix which is weakly related to noise but strongly related to the data matrix is designed, so that the positioning precision is improved.

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