Magnetometer correcting method with optimized and modified BP neural network based on genetic algorithm
A BP neural network and genetic algorithm technology, applied in the field of magnetometer calibration, can solve the problems of increasing computer processing complexity, increasing constraints, and not having real-time performance
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[0037] The present invention will be further described below in conjunction with the accompanying drawings.
[0038] The magnetometer correction method based on the genetic algorithm optimization BP neural network provided by the present invention proposes the optimal real-time estimation of the parameters of the error model of the magnetometer based on the genetic algorithm optimization BP neural network, and then the effective compensation for the magnetometer output error method. The invention can be applied to error correction of heading angle in an inertial integrated navigation and positioning system composed of an inertial measurement unit (IMU) and a magnetometer (or electronic compass). Since the basic method of the BP neural network algorithm is the gradient descent method, it cannot overcome the defect that it may fall into a local minimum solution. In order to solve this shortcoming of the BP neural network, the present invention introduces a genetic algorithm (GA...
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