Research On Matching Accuracy Of Gravity-Aided Inertial Navigation Algorithm Based On Related Sequence Matching

Carriers mostly rely on passive inertial navigation systems for positioning during navigation.However,inertial navigation systems will cause navigation errors due to the loss of inertial devices.They cannot meet the accuracy requirements of navigation during long-term navigation and require regular auxiliary corrections.Gravity-assisted navigation and inertial navigation system can form a passive and highly concealed high-precision navigation system.Gravity matching algorithm is the core of gravity assisted navigation.In this paper,the gravity-assisted navigation algorithm based on correlation sequence matching and its matching accuracy are studied,the principle and performance of the algorithm itself are analyzed,and the code implementation and simulation are carried out.Combining a variety of factors,the matching accuracy of the algorithm in different environments is analyzed and discussed.The main work and innovations of the paper are as follows:Research on the ICCP algorithm and triangle matching algorithm in sequence correlation matching,introduce the respective solving methods and principles of the two algorithms,and summarize the characteristics of the two.Completed the programming implementation of the two algorithms through the Python languageSummarize and summarize a variety of methods of simulating carrier inertial navigation track and real track;discuss the principle of platform inertial navigation system and strap-down inertial navigation system;simulate the carrier's motion model and strap-down inertial navigation system based on the principle The working mode of the system completes the simulation of the track.According to the principle,the ICCP algorithm and triangle matching algorithm are simulated using satellite data;according to the gravity anomaly map with different characteristics and different initial size parameters,the accuracy of the matching results of the two algorithms is studied,and the results show that the triangle matching algorithm is in the same state.The matching accuracy is better than the ICCP algorithm;for the same algorithm,the greater the amplitude of the abnormal gravity map and the smaller the initial error,the higher the accuracy.Taking the ICCP algorithm as the research object,starting with the relationship between the sampling rate of the track points,the sampling length and the interpolation density of the gravity anomaly map,the accuracy of the algorithm matching results is further studied.After error analysis and matching experiment,the variation rule of error is obtained,and it is verified that when the sampling interval is between 3 and 5 minutes and the ratio of interpolation density to sampling length is within 10,the matching result of the algorithm is relatively stable.