Orthogonal frequency-division multiplexing （OFDM） systems are sensitive to carrier frequency offset （CFO） which introduces intercarder interference and significantly degrades system performance. This paper describ...Orthogonal frequency-division multiplexing （OFDM） systems are sensitive to carrier frequency offset （CFO） which introduces intercarder interference and significantly degrades system performance. This paper describes an iterative blind receiver consisting of a sequential Monte Carlo detector, a CFO estimator, and a compensator to reduce intercarrier interference. The framework is of low complexity due to the separation of tasks in a joint detection problem. In addition, the CFO estimator utilizes soft output of the sequential Monte Carlo detector, which reduces the information loss caused by hard decisions and can obtain the CFO estimate in only one OFDM symbol. Simulation results demonstrate the effectiveness of the algorithm.展开更多
多输入多输出(Multiple-input multiple-output,MIMO)技术可以有效提高水禽监控网络节点间的数据传输速率和误比特性能.载波序号调制技术(Orthogonal frequency division multiplexing with index modulation,OFDM-IM)是一种可以有效对...多输入多输出(Multiple-input multiple-output,MIMO)技术可以有效提高水禽监控网络节点间的数据传输速率和误比特性能.载波序号调制技术(Orthogonal frequency division multiplexing with index modulation,OFDM-IM)是一种可以有效对抗由多径传输引起的频率选择性衰落并获得更优的频谱效率和误比特性能多载波传输新技术.通过将MIMO和载波序号调制技术相结合可以提高水禽监控网络节点间的数据传输速率和可靠性,提出一种基于树形搜索的序贯蒙特卡罗(Sequential Monte Carlo,SMC)低复杂度接收机,通过对每个子载波抽取采样点,可以大幅降低接收机的计算法复杂度.仿真结果表明提出的SMC接收机可以在线性计算复杂度下获得接近最优的最大似然(Maximum Likelihood,ML)概率的接收机的误比特性能.展开更多
考虑到存活目标与新生目标在动态演化特性上的差异性,提出了面向快速多目标跟踪的协同概率假设密度(collaborative probability hypothesis density,CoPHD)滤波框架。该框架利用存活目标的状态信息,将量测动态划分为存活目标量测集与新...考虑到存活目标与新生目标在动态演化特性上的差异性,提出了面向快速多目标跟踪的协同概率假设密度(collaborative probability hypothesis density,CoPHD)滤波框架。该框架利用存活目标的状态信息,将量测动态划分为存活目标量测集与新生目标量测集,在两个量测集分别运用PHD组处理更新基础上建立了处理模块的交互与协同机制,力图在保证跟踪精度的同时提高计算效率。该框架由于采用PHD组处理方式而具有状态自动提取功能。进一步给出了该框架的序贯蒙特卡罗算法实现。仿真结果表明,该算法在计算效率以及状态提取精度上具有明显优势。展开更多
基金Supported by the Basic Research Foundation of Tsinghua Na-tional Laboratory for Information Science and Technology (TNList) the Major Program of the National Natural Science Foundation of China (No. 60496311)
文摘Orthogonal frequency-division multiplexing （OFDM） systems are sensitive to carrier frequency offset （CFO） which introduces intercarder interference and significantly degrades system performance. This paper describes an iterative blind receiver consisting of a sequential Monte Carlo detector, a CFO estimator, and a compensator to reduce intercarrier interference. The framework is of low complexity due to the separation of tasks in a joint detection problem. In addition, the CFO estimator utilizes soft output of the sequential Monte Carlo detector, which reduces the information loss caused by hard decisions and can obtain the CFO estimate in only one OFDM symbol. Simulation results demonstrate the effectiveness of the algorithm.
文摘多输入多输出(Multiple-input multiple-output,MIMO)技术可以有效提高水禽监控网络节点间的数据传输速率和误比特性能.载波序号调制技术(Orthogonal frequency division multiplexing with index modulation,OFDM-IM)是一种可以有效对抗由多径传输引起的频率选择性衰落并获得更优的频谱效率和误比特性能多载波传输新技术.通过将MIMO和载波序号调制技术相结合可以提高水禽监控网络节点间的数据传输速率和可靠性,提出一种基于树形搜索的序贯蒙特卡罗(Sequential Monte Carlo,SMC)低复杂度接收机,通过对每个子载波抽取采样点,可以大幅降低接收机的计算法复杂度.仿真结果表明提出的SMC接收机可以在线性计算复杂度下获得接近最优的最大似然(Maximum Likelihood,ML)概率的接收机的误比特性能.
文摘考虑到存活目标与新生目标在动态演化特性上的差异性,提出了面向快速多目标跟踪的协同概率假设密度(collaborative probability hypothesis density,CoPHD)滤波框架。该框架利用存活目标的状态信息,将量测动态划分为存活目标量测集与新生目标量测集,在两个量测集分别运用PHD组处理更新基础上建立了处理模块的交互与协同机制,力图在保证跟踪精度的同时提高计算效率。该框架由于采用PHD组处理方式而具有状态自动提取功能。进一步给出了该框架的序贯蒙特卡罗算法实现。仿真结果表明,该算法在计算效率以及状态提取精度上具有明显优势。
