Speed Error Analysis of Maneuvering Target Tracking Based on Improved SCKF Algorithm
In order to realize efficient maneuvering target tracking,this paper proposes an adaptive uniform velocity model and a square-root volume kalman filter tracking algorithm with function of autonomous waveform scheduling.In the process of determing transmitting waveform,the subsequent moments are ensured to achieve the minimum targeting status of estimated errors.The waveform agility method is applied to abtain the optimal waveform parameters,which significantly enhances the capability of maneuvering target tracking systematically.The reserch results show that the proposed algorithm,after waveform scheduling,reduces the errors of target azimuth,speed and acceleration respectivelyby 89.56％,84.04％and 59.54％,with no obvious time consumption.The improved algorithm has high quality robustness for the slowdown of azimuth and speed errors,and exhibits better performance for the reduction of signal-to-noise ratio.Comparing with other algorithms,the algorithm can adaptively regulate various parameters for higher tracking accuracy with less computation.
万方数据
维普
