A Modified Terrain-entropy Matching Algorithm
Aijun Li · Jisuanji fangzhen · 2007
The paper introduces an improved terrain-entropy navigation algorithm. The primary bug of this algorithm is that it discards the relative position information of terrain data and the normalized processing. Based on this, a sandia inertial terrain aided navigation method for Kalman filter is offered and the maximization of mutual information is synthesized, the performance of terrain-entropy algorithm is improved. Lastly the simulated digital maps are produced by computer on topography of Weierstrass-Mandelbrot function on matlab for simulation. Better results are obtained by simulation.