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The Research And Application Of Maneuvering Target Tracking Method Based On Interactive Multiple Model

Posted on:2017-02-20Degree:MasterType:Thesis
Country:ChinaCandidate:Z L HeFull Text:PDF
GTID:2322330518972284Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
In recent years,as one of the most important weapon of sea warfare,the anti-ship missile attracts more and more countries' attention, and its attack range, accuracy and anti-interference ability have been improved greatly. The anti-ship missile has become a huge threat to the ship in the naval battle. Therefore, it is significant to study the effective filtering algorithm and to track the trajectory of anti-ship missile accurately. In this dissertation, the"snake" maneuver of anti-ship missile is chosen as the study objective, and a tracking algorithm based on interacting multiple model of anti-ship missile have been mainly researched.To provide a theoretical basis for the anti-ship missile tracking, the dynamic modeling method is introduced to establish anti-ship missile "snake" maneuvering track based on the equation of motion of Missile Center, which is combined with the real motion characteristics of anti-ship missile. To solve the problems of slow convergence speed, low tracking accuracy and robustness in traditional interactive multi-model(IMM) algorithm, an adaptive cubature Kalman interactive multiple model (FLIMM-ACKF) algorithm based on fuzzy logic is proposed. Firstly,the algorithm uses the fuzzy control method to adjust the probability matrix of the model in real time, which speeds up the rate of probability update. In addition, the statistical estimator is introduced to update the error covariance, which adjusts the error covariance adaptively. This could improve the accuracy and robustness of the algorithm effectively, and improve the shortcomings of loss of precision filter when statistical properties are unknown. Simulation results verify the ballistic model established of anti-ship missile technology research has certain reference value. Besides, the improved FLIMM-ACKF algorithm can quickly adjust the probability model to bring about faster convergence speed and better robustness, which can effectively reduce the error of bearing-only target tracking and can achieve the stability and reliability of the snakelike terminal maneuvering trajectory model of anti-ship missiles.
Keywords/Search Tags:Target tracking, IMM algorithm, Fuzzy logic, Cubature Kalman filter, Sage-Husa estimators of noise statistics
PDF Full Text Request
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