Adaptive manoeuvring target tracking algorithm based on acceleration pre-estimation model

Abstract

For the defect of requiring artificially set manoeuvring parameters in traditional target models, an adaptive manoeuvring frequency tracking algorithm based on acceleration pre-estimation model (APM) was proposed. On the basis of APM, which has a better target tracking performance compared with current statistic model, this study used residual vector to determine variance of target's manoeuvring, and realised an adaptive adjustment for manoeuvring frequency by using a non-linear function, solved the problem of requiring artificially set manoeuvring frequency in APM. The simulation results showed that the improved algorithm effectively ameliorated the target tracking performance.

Keywords

• target tracking
• nonlinear functions
• adaptive manoeuvring target
• acceleration pre-estimation model
• artificially set manoeuvring parameters
• apm
• target tracking performance
• adaptive adjustment
• artificially set manoeuvring frequency
• adaptive manoeuvring frequency tracking algorithm
• nonlinear function