Due to the interdependency of frame synchronization(FS)and channel estimation(CE),joint FS and CE(JFSCE)schemes are proposed to enhance their functionalities and therefore boost the overall performance of wireless com...Due to the interdependency of frame synchronization(FS)and channel estimation(CE),joint FS and CE(JFSCE)schemes are proposed to enhance their functionalities and therefore boost the overall performance of wireless communication systems.Although traditional JFSCE schemes alleviate the influence between FS and CE,they show deficiencies in dealing with hardware imperfection(HI)and deterministic line-of-sight(LOS)path.To tackle this challenge,we proposed a cascaded ELM-based JFSCE to alleviate the influence of HI in the scenario of the Rician fading channel.Specifically,the conventional JFSCE method is first employed to extract the initial features,and thus forms the non-Neural Network(NN)solutions for FS and CE,respectively.Then,the ELMbased networks,named FS-NET and CE-NET,are cascaded to capture the NN solutions of FS and CE.Simulation and analysis results show that,compared with the conventional JFSCE methods,the proposed cascaded ELM-based JFSCE significantly reduces the error probability of FS and the normalized mean square error(NMSE)of CE,even against the impacts of parameter variations.展开更多
针对大中型无人战斗机(Unmanned Combat Air Vehicle, UCAV)在中空环境下抵抗攻击和生存能力弱的问题,本文研究一种箔条干扰弹投放策略优化算法。该算法以发现概率为评估指标,在一定发现概率范围内寻求每个时隙下箔条干扰弹的最优投放...针对大中型无人战斗机(Unmanned Combat Air Vehicle, UCAV)在中空环境下抵抗攻击和生存能力弱的问题,本文研究一种箔条干扰弹投放策略优化算法。该算法以发现概率为评估指标,在一定发现概率范围内寻求每个时隙下箔条干扰弹的最优投放策略。研究旨在尽量推迟UCAV被发现的时间,甚至实现全程都未被察觉,从而节省资源损耗,提高UCAV的生存能力和任务成功率。首先,建立箔条走廊掩护场景模型和发现概率模型;随后,形成时隙特定的箔条干扰弹数量最小化问题,并提出相应约束条件;最后,深入分析优化问题,结合数学分析方法,对最小化问题进行求解,得到每个时隙下的箔条干扰弹最优投放策略。仿真结果表明,所提出方法能够在降低发现概率的同时,减少我方作战资源的消耗,具有有效性和良好的健壮性。展开更多
基金supported in part by the Sichuan Science and Technology Program(Grant No.2023YFG0316)the Industry-University Research Innovation Fund of China University(Grant No.2021ITA10016)+1 种基金the Key Scientific Research Fund of Xihua University(Grant No.Z1320929)the Special Funds of Industry Development of Sichuan Province(Grant No.zyf-2018-056).
文摘Due to the interdependency of frame synchronization(FS)and channel estimation(CE),joint FS and CE(JFSCE)schemes are proposed to enhance their functionalities and therefore boost the overall performance of wireless communication systems.Although traditional JFSCE schemes alleviate the influence between FS and CE,they show deficiencies in dealing with hardware imperfection(HI)and deterministic line-of-sight(LOS)path.To tackle this challenge,we proposed a cascaded ELM-based JFSCE to alleviate the influence of HI in the scenario of the Rician fading channel.Specifically,the conventional JFSCE method is first employed to extract the initial features,and thus forms the non-Neural Network(NN)solutions for FS and CE,respectively.Then,the ELMbased networks,named FS-NET and CE-NET,are cascaded to capture the NN solutions of FS and CE.Simulation and analysis results show that,compared with the conventional JFSCE methods,the proposed cascaded ELM-based JFSCE significantly reduces the error probability of FS and the normalized mean square error(NMSE)of CE,even against the impacts of parameter variations.
文摘针对大中型无人战斗机(Unmanned Combat Air Vehicle, UCAV)在中空环境下抵抗攻击和生存能力弱的问题,本文研究一种箔条干扰弹投放策略优化算法。该算法以发现概率为评估指标,在一定发现概率范围内寻求每个时隙下箔条干扰弹的最优投放策略。研究旨在尽量推迟UCAV被发现的时间,甚至实现全程都未被察觉,从而节省资源损耗,提高UCAV的生存能力和任务成功率。首先,建立箔条走廊掩护场景模型和发现概率模型;随后,形成时隙特定的箔条干扰弹数量最小化问题,并提出相应约束条件;最后,深入分析优化问题,结合数学分析方法,对最小化问题进行求解,得到每个时隙下的箔条干扰弹最优投放策略。仿真结果表明,所提出方法能够在降低发现概率的同时,减少我方作战资源的消耗,具有有效性和良好的健壮性。
