雷达目标跟踪中的波形选择研究
发布时间：2018-08-22 15:04
【摘要】：现代雷达若能够根据周围环境的变化自适应地调整发射波形,并不断地在与目标环境的交互中获得信息,对特定目标进行有效、可靠且稳定地测量,将全面提高雷达的整体性能,更加适应越来越复杂的战场环境。因此,自适应地选择发射波形是当前研究热点之一。本文则研究了如何在跟踪系统中实现波形自适应选择的问题,给出了有/无杂波环境下跟踪系统的波形自适应选择方法,为进一步提升雷达探测与跟踪性能提供了一定的理论依据。本文所做的研究工作如下:1、论文首先研究了无杂波环境下波形自适应选择问题,基于Kalman滤波的波形自适应选择算法,根据目标不同的运动状态,利用粒子群优化算法自适应设计跟踪波形脉宽和调频斜率,从实验方面分析了波形参数选择对测量误差、跟踪精度的影响,仿真分析验证了文中所提算法的有效性。2、通过分析雷达信号脉宽与跟踪性能的关系,对雷达信号参数进行选择,基于波形选择准则,实现了交互多模型(Interaction multiple model,IMM)的波形自适应选择算法,根据目标运动状态不同,自适应设计下一时刻的发射信号脉宽,提高了目标跟踪性能,仿真验证了文中所提算法的有效性。3、分析了杂波环境下的波形自适应选择问题,基于交互多模型数据关联算法(Interacting multiple model probability data association,IMMPDA),设计了波形自适应选择方法,通过两种不同的波形选择准则,提高了密集杂波条件下的目标跟踪性能,仿真验证了文中所提算法的有效性。
[Abstract]:If the modern radar can adjust the transmitting waveform adaptively according to the change of the surrounding environment, and continuously acquire the information in the interaction with the target environment, it can measure the specific target effectively, reliably and stably. It will improve the overall performance of radar and adapt to more and more complex battlefield environment. Therefore, adaptive selection of transmitting waveforms is one of the current research hotspots. In this paper, the problem of adaptive waveform selection in tracking system is studied, and the adaptive waveform selection method for tracking system with or without clutter is presented. It provides a theoretical basis for further improving radar detection and tracking performance. The research work in this paper is as follows: 1. In this paper, we first study the problem of waveform adaptive selection in clutter free environment. The adaptive waveform selection algorithm based on Kalman filter is based on different moving states of the target. Particle swarm optimization (PSO) algorithm is used to design tracking waveform pulse width and frequency modulation slope. The influence of waveform parameter selection on measurement error and tracking accuracy is analyzed experimentally. Simulation results verify the effectiveness of the proposed algorithm. By analyzing the relationship between radar signal pulse width and tracking performance, the radar signal parameters are selected based on waveform selection criteria. An adaptive waveform selection algorithm for interactive multi-model (Interaction multiple model-imm) is implemented. According to the different moving states of the target, the pulse width of the transmitted signal at the next moment is designed adaptively, and the target tracking performance is improved. Simulation results show that the proposed algorithm is effective. 3. The waveform adaptive selection problem in clutter environment is analyzed. An adaptive waveform selection method is designed based on the interactive multi-model data association algorithm (Interacting multiple model probability data association / IMMPDA). Through two different waveform selection criteria, the performance of target tracking under dense clutter is improved, and the effectiveness of the proposed algorithm is verified by simulation.
【学位授予单位】：江苏科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN953
本文编号：2197468
[Abstract]:If the modern radar can adjust the transmitting waveform adaptively according to the change of the surrounding environment, and continuously acquire the information in the interaction with the target environment, it can measure the specific target effectively, reliably and stably. It will improve the overall performance of radar and adapt to more and more complex battlefield environment. Therefore, adaptive selection of transmitting waveforms is one of the current research hotspots. In this paper, the problem of adaptive waveform selection in tracking system is studied, and the adaptive waveform selection method for tracking system with or without clutter is presented. It provides a theoretical basis for further improving radar detection and tracking performance. The research work in this paper is as follows: 1. In this paper, we first study the problem of waveform adaptive selection in clutter free environment. The adaptive waveform selection algorithm based on Kalman filter is based on different moving states of the target. Particle swarm optimization (PSO) algorithm is used to design tracking waveform pulse width and frequency modulation slope. The influence of waveform parameter selection on measurement error and tracking accuracy is analyzed experimentally. Simulation results verify the effectiveness of the proposed algorithm. By analyzing the relationship between radar signal pulse width and tracking performance, the radar signal parameters are selected based on waveform selection criteria. An adaptive waveform selection algorithm for interactive multi-model (Interaction multiple model-imm) is implemented. According to the different moving states of the target, the pulse width of the transmitted signal at the next moment is designed adaptively, and the target tracking performance is improved. Simulation results show that the proposed algorithm is effective. 3. The waveform adaptive selection problem in clutter environment is analyzed. An adaptive waveform selection method is designed based on the interactive multi-model data association algorithm (Interacting multiple model probability data association / IMMPDA). Through two different waveform selection criteria, the performance of target tracking under dense clutter is improved, and the effectiveness of the proposed algorithm is verified by simulation.
【学位授予单位】：江苏科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN953
【参考文献】
相关期刊论文 前2条
1 李万福;马义德;;认知雷达及其关键技术研究进展[J];电子制作;2013年15期
2 纠博;刘宏伟;胡利平;吴顺君;;针对目标识别的波形优化设计方法[J];电子与信息学报;2009年11期
相关博士学位论文 前3条
1 范梅梅;认知雷达目标识别自适应波形设计技术研究[D];国防科学技术大学;2012年
2 张劲东;自适应雷达系统中波形分集技术的研究[D];南京理工大学;2010年
3 王宏强;目标融合跟踪技术及性能预测研究[D];中国人民解放军国防科学技术大学;2002年
相关硕士学位论文 前2条
1 牛建栋;MIMO认知雷达波形设计与实现[D];西安电子科技大学;2013年
2 夏洪恩;基于目标跟踪的波形自适应选择技术[D];国防科学技术大学;2010年
，本文编号：2197468
本文链接：https://www.wllwen.com/kejilunwen/xinxigongchenglunwen/2197468.html
