摘要
针对传统的电视跟踪系统在激光散斑干扰下跟踪效果不佳的问题,对抗干扰性较强的粒子滤波跟踪算法进行了硬件实现并改进。首先基于"DSP+ARM"技术架构设计了电视跟踪仿真平台;然后对裂变自举粒子滤波跟踪算法进行了研究,并结合仿真平台进行了工程化改进、优化和实现,提高了运算速度,满足了高效性和实时性的跟踪要求。实验结果表明,该仿真平台能够运行改进的裂变自举粒子滤波算法,达到实时稳定的跟踪要求,具备一定的抗激光散斑干扰的能力。
To solve the problem that the traditional TV-guided system may fail to track the object under laser speckle jamming,the particle filter tracking algorithm,which has stronger jamming resisting capability, was implemented and improved. Firstly, a TV-tracking platform was designed by ＂DSP ＋ ARM＂ technology framework. Then, the Fission Bootstrap Particle Filtering （FBPF） was studied, improved and implemented on the platform, the operating speed was improved,which could meet the high-efficiency and real-time tracking demands. Simulation experiment result proved that the platform can implement the improved fission bootstrap particle filter algorithm, meet the real-time and stable tracking demand, and have certain anti-jamming capability.
出处
《电光与控制》
北大核心
2012年第10期84-86,101,共4页
Electronics Optics & Control
