2results about How to "Improve position estimation accuracy" patented technology

The application provides an improved sparse learning out-of-grid direction-of-arrival estimation method based on variational Bayesian. The method is characterized in that: the original data received by a hydrophone array is preprocessed, a real value transformation is used to convert a vectorized covariance matrix signal in a complex number field to a real number field, and the idea of variational sparse Bayesian learning and grid evolution is combined to make the grid evolve from an initial uniform grid to a non-uniform grid adaptively in an iteration process. The evolution process includes grid updating and grid fission. The evolved grid points are gradually close to the real source position through the alternately iterative grid updating process and grid fission process. Compared with the traditional compressed sensing method, the method has higher DOA estimation accuracy, reduces the operation complexity, optimizes the operation efficiency, improves the resolution capacity of the source, and has higher application value in actual engineering, especially in the case of few snapshots and low signal-to-noise ratio.

This invention discloses an automatic personnel trajectory tracking method and system in hazardous areas, relating to the field of navigation technology. It involves synchronously acquiring satellite data and inertial measurement data, and using a Kalman filter for state prediction based on the inertial data. The availability of satellite data is evaluated; if available, multi-system fusion calculations are performed to calculate the observation error; if unavailable, pseudo-observation errors are generated using historical inertial data and a pre-trained error prediction model. The observation error or pseudo-observation error is then used to correct the state prediction using a Kalman filter, outputting optimal position information, and the generated trajectory is visualized in real-time on an offline map. This method can continuously correct inertial navigation drift even when satellites are unavailable, achieving continuous and reliable personnel trajectory tracking.