3篇
您的检索式：作者名="ZHUHongyan"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Tracking of Maneuvering Target in Glint Noise Environment显示文摘This paper presents a tracking algorithm for maneuvering target in the presence of glint noise. In radar target tracking system, because of the random wandering of the target position, the measurement noise is clearly non-Gaussian distribution, called as glint noise, which has a considerable influence on conventional linear estimates. In this paper, the glint noise is modeled via the mixture of Gaussian distribution and Laplace distribution, and tackled with two model sets. The tracking algorithm for maneuvering target is derived detailedly when the model sets is interacting in the presence of glint noise. The Monte Carlo simulation results express its better performance in comparison with the IMM algorithm. | ZUODongguang BIANShutan HANChongzhao ZHENGLin ZHUHongyan | 2005 | Chinese Journal of Electronics2005，14，3： | 3 |
| 2 | A Fast Approach for Track Initiation and Termination显示文摘Track initiation and termination is an important function in Multi-target tracking (MTT), it is a decision part for establishing the records of the new targets and terminating the unwanted records of the inexistent targets when they leave the surveillance region. But in the heavy cluttered environment, there exists so called “incomplete data problem”, due to the unknown state of the target and the sequence of measurements which originate from the target. Because the EM algorithm is an efficient means to solve the “incomplete data problem”,a fast track initiation and termination approach applicable to engineering is presented, which combines the Sequential probabilistic ratio test (SPRT) with recursive Expectation maximization (EM). Here, track initiation and termination is modeled as a hypothesis testing problem. And aiming at the computational difficulty of the likelihood function due to the unknown target state and the sequence of measurements which originate from the target, the recursive EM-based formula of likelihood function is introduced. It gives an efficient solution to track initiation and termination by processing the measurement data sequentially, and its recursive form can meet the real-time demand. The simulation results indicate that the proposed method performs well for track initiation and termination, especially in heavily cluttered environment. | ZHUHongyan HANChongzhao HANHong | 2004 | Chinese Journal of Electronics2004，13，2： | 3 |
| 3 | Neural fuzzy inference network approach to maneuvering target tracking显示文摘In target tracking study, the fast target maneuver detecting and highly accurate tracking are very important. And it is difficult to be solved. For the radar/infrared image fused tracking system, a extend Kalman filter combines with a neural fuzzy irr[erence network to be used in maneuvering target tracking. The features related to the target maneuver are extracted from radar, infrared measurements and outputs of tracking filter, and are sent into the neural fuzzy inference network as inputs firstly, and then the target's maneuver inputs are estimated, so that, the accurate tracking is achieved. The simulation results indicate that the new method is valuable for maneuvering target tracking. | HanHong LiuYuncai HanChongzhao ZhuHongyan WenRong | 2004 | Journal of Systems Engineering and Electronics2004，15，4： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员