In order to overcome the shortcomings of UKF,such as obvious influences from the values of initial parameters,the uncertainness of systemic noises and the influences of vehicle disturbances in movements,the adaptive estimation principle is applied for UKF.

Based on a deep investigation, a multiple model adaptive estimation method for stochastic systems is dealt with in this paper, and it is applied to INS/ESGM integrated navigation system.

For the slow changes of random drift model s parameters during the spin-up of the Dynamic Tuning Gyro (DTG) and the different coefficients for different spin-up, an adaptive estimation to the coefficients of random drift model of DTG with Least Square Lattice (LSL) algorithm was introduced.

Based on that, a new adaptive estimator of target state - the interacting dual adaptive models estimator is set up.

Blind image restoration algorithm based on space-adaptive and regularization;

In order to overcome the shortcoming of noise resistance ability of original NAS-RIF algorithm for blind image restoration,an improved method based on space-adaptive is proposed.

A Spatially Adaptive Redundant Wavelet Denoising Method Based on Image-Segmentation;

Improved spatially adaptive regularized image restoration;

After analyzing the defects of current methods,a new spatially adaptive coefficient model is proposed.

With the goal of maximizing overall data throughput the criteria of subcarrier allocation was derived and an adaptive spatial subchannel allocation algorithm was proposed.