摘要
在OFDM通信系统中,为了解决非线性的目标跟踪问题,提出了基于改进混合蛙跳算法(SFLA)和粒子滤波算法(PF)相结合的方法来研究动态目标跟踪技术。首先利用高斯变异的局部搜索能力强和柯西变异的全局搜索能力强等优点对混合蛙跳算法进行改进,然后用改进后的混合蛙跳算法来优化粒子滤波算法进行动态跟踪,其优点不需要重采样步骤,有效地保持了粒子的多样性和有效性。仿真结果表明,该算法能够有效实现动态目标跟踪,并且跟踪效果优于同等条件下的混合蛙跳算法和粒子滤波算法。
In the OFDM communication system, in order to solve nonlinear target tracking problem, an improved SFLA （SF- LA） and particle filter （PF） is proposed based on a combination of methods to study the dynamic target tracking technology. Firstly, Ganssian mutation local search ability and Canchy mutation global search ability, etc. are used to improve SFLA, then improved SFLA is used to optimize the dynamic tracking of particle filter algorithm, its advantages are not requiting resa- mpling steps, and meanwhile effectively maintain the diversity and effectiveness of the particles. The simulation results show that the algorithm can effectively achieve dynamic target tracking, and tracking better than SFLA and particle filter algorithm under the same conditions.
出处
《电视技术》
北大核心
2016年第3期103-106,121,共5页
Video Engineering
基金
陕西省自然科学基金项目(2014JM2-6088)
