Supervisor:
Southwest Ordnance Industry Bureau
Organizer:
Chongqing Ordnance Industry Society
Chongqing University of Technology
Chongqing University of Technology
Shape estimation for elliptic extended target based on neural network
| DOI: | 10.11809/bqzbgcxb2024.03.035 |
| Keywords: | extended target tracking; neural network; Kalman filter; shape estimation |
| Abstract: | Aiming at the problem of low accuracy of elliptic extended target shape estimation caused by sparse measurement in complex environment, a neural network based shape estimation method is proposed. The neural network is used to process the target measurement, and the axis length of the elliptic extended target is estimated. Then the target tracking is realized by combining Kalman filter algorithm.Simulation results show that the tracking performance of the proposed algorithm is significantly improved compared with the existing algorithms based on random matrix, multiplicative error and convolutional neural network. |
| Published: | 2024-03-28 |