Aiming at improving the observation uncertainty caused by limited accuracy of sensors,and the uncertainty of observation source in clutters,through the dynamic combination of ensemble Kalman filter(EnKF) and probabili...Aiming at improving the observation uncertainty caused by limited accuracy of sensors,and the uncertainty of observation source in clutters,through the dynamic combination of ensemble Kalman filter(EnKF) and probabilistic data association(PDA),a novel probabilistic data association algorithm based on ensemble Kalman filter with observation iterated update is proposed.Firstly,combining with the advantages of data assimilation handling observation uncertainty in EnKF,an observation iterated update strategy is used to realize optimization of EnKF in structure.And the object is to further improve state estimation precision of nonlinear system.Secondly,the above algorithm is introduced to the framework of PDA,and the object is to increase reliability and stability of candidate echo acknowledgement.In addition,in order to decrease computation complexity in the combination of improved EnKF and PDA,the maximum observation iterated update mechanism is applied to the iteration of PDA.Finally,simulation results verify the feasibility and effectiveness of the proposed algorithm by a typical target tracking scene in clutters.展开更多
In this letter,by employing Gaussian distribution to approximate the probability density function(pdf) of the extrinsic information at the output of the multiuser detector as a function of the pdf of the input extrins...In this letter,by employing Gaussian distribution to approximate the probability density function(pdf) of the extrinsic information at the output of the multiuser detector as a function of the pdf of the input extrinsic messages,it is concluded that the Probabilistic Data Association(PDA) algorithm is equivalent to the Soft Interference Cancellation plus Minimum Mean Square Error algo-rithm(SIC-MMSE) .展开更多
针对联合概率数据关联(JPDA,Joint Probabilistic Data Association)算法关联概率计算过于复杂,无法适应复杂电磁环境下多目标实时跟踪的需求,提出了一种改进的JPDA算法(MJPDA)。首先,考虑多重因素重新定义关联矩阵,并计算关联概率;其次...针对联合概率数据关联(JPDA,Joint Probabilistic Data Association)算法关联概率计算过于复杂,无法适应复杂电磁环境下多目标实时跟踪的需求,提出了一种改进的JPDA算法(MJPDA)。首先,考虑多重因素重新定义关联矩阵,并计算关联概率;其次,对密集杂波下公共量测的关联概率进行修正,引入马氏距离对公共量测进行二次加权,同时考虑公共与非公共量测数目的影响,最后计算修正关联概率。该算法规避了确认矩阵的拆分,有效解决了JPDA算法计算量随杂波密度增加呈指数级增长的问题。通过理论分析和蒙特卡罗仿真实验结果表明,在密集杂波环境下,改进算法具有良好的跟踪性能和较小的计算量,显著提升了算法的实时性。展开更多
本论文研究了基于同步DS-CDMA协作通信系统的迭代接收机性能,该系统在协作伙伴节点端和基站端均使用由随机数据联合检测器与LDPC译码器级联(PDA+LDPC,probabilistic data association+low density parity check codes)所组成的迭代接收...本论文研究了基于同步DS-CDMA协作通信系统的迭代接收机性能,该系统在协作伙伴节点端和基站端均使用由随机数据联合检测器与LDPC译码器级联(PDA+LDPC,probabilistic data association+low density parity check codes)所组成的迭代接收机,利用从该迭代接收机所提供的信息,提出了一种集中式协作伙伴节点选择策略。根据该策略,由于距离基站较近的节点与基站间通信能力相对较强,每个信源节点将优先选择距离基站近的节点作为其协作伙伴节点,仿真结果表明,本文所提出的集中式协作伙伴节点选择策略可取得较好的系统性能。展开更多
针对同步DS-CDMA协作通信系统,本文考虑在转发节点端和基站端使用随机数据联合检测算法(probabilistic data association algorithm,PDA)与LDPC码译码器级联的迭代接收机PDA+LDPC,基于该迭代接收机结构,给出了一种分布式协作通信策略,...针对同步DS-CDMA协作通信系统,本文考虑在转发节点端和基站端使用随机数据联合检测算法(probabilistic data association algorithm,PDA)与LDPC码译码器级联的迭代接收机PDA+LDPC,基于该迭代接收机结构,给出了一种分布式协作通信策略,研究表明,该策略较集中式协作伙伴选择策略和传统的DAF协作通信策略可取得更好的系统性能。展开更多
针对概率数据互联(Probability data association, PDA)算法在杂波环境下计算复杂度高的问题,设计了一种基于PDA算法的数据关联方法,当波门内量测点数量大于阈值时,采用PDA算法更新目标状态;当波门内量测点数量小于等于阈值时,采用最近...针对概率数据互联(Probability data association, PDA)算法在杂波环境下计算复杂度高的问题,设计了一种基于PDA算法的数据关联方法,当波门内量测点数量大于阈值时,采用PDA算法更新目标状态;当波门内量测点数量小于等于阈值时,采用最近邻思想筛选目标量测点,接着利用卡尔曼滤波(Kalman filter, KF)算法实现杂波环境下的快速滤波更新。在此基础上,通过自适应区间平滑方法,动态修正平滑区间,实现整体状态估计的反向平滑,从而提升算法的精度。不同杂波环境下的实验结果表明,本文方法相较于PDA算法与KF-PDA算法,在保证跟踪效率的同时,有效提升了系统状态的估计精度,验证了该方法的鲁棒性和有效性。展开更多
This paper considers the uplink of a cooperative Code-Division Multiple-Access (CDMA) system where parts of mobile nodes serve as source nodes while the others serve as relay nodes at any instant in time. When the non...This paper considers the uplink of a cooperative Code-Division Multiple-Access (CDMA) system where parts of mobile nodes serve as source nodes while the others serve as relay nodes at any instant in time. When the non-orthogonal spreading codes are adopted,Multiple Access Interference (MAI) will exist at both the relay nodes and the base node,causing diversity gain to diminish. To mitigate MAI and exploit full advantages of cooperation,the Probabilistic Data Association (PDA) is developed at the relay nodes and the base node. Simulation results demonstrate that some performance gains can be obtained by the PDA detector over the Minimum Mean Square Error (MMSE) detector at high Signal-to-Noise Ratio (SNR) and conversely at low SNR.展开更多
基金Supported by the National Nature Science Foundation of China(No.61300214)the Science and Technology Innovation Team Support Plan of Education Department of Henan Province(No.13IRTSTHN021)+5 种基金the National Natural Science Foundation of Henan Province(No.132300410148)the Science and Technology Research Key Project of Education Department of Henan Province(No.13A413066)the Postdoctoral Science Foundation of China(No.2014M551999)the Funding Scheme of Young Key Teacher of Henan Province Universities(No.2013GGJS-026)the Postdoctoral Fund of Henan Province(No.2013029)the Outstanding Young Cultivation Foundation of Henan University(No.0000A40366)
文摘Aiming at improving the observation uncertainty caused by limited accuracy of sensors,and the uncertainty of observation source in clutters,through the dynamic combination of ensemble Kalman filter(EnKF) and probabilistic data association(PDA),a novel probabilistic data association algorithm based on ensemble Kalman filter with observation iterated update is proposed.Firstly,combining with the advantages of data assimilation handling observation uncertainty in EnKF,an observation iterated update strategy is used to realize optimization of EnKF in structure.And the object is to further improve state estimation precision of nonlinear system.Secondly,the above algorithm is introduced to the framework of PDA,and the object is to increase reliability and stability of candidate echo acknowledgement.In addition,in order to decrease computation complexity in the combination of improved EnKF and PDA,the maximum observation iterated update mechanism is applied to the iteration of PDA.Finally,simulation results verify the feasibility and effectiveness of the proposed algorithm by a typical target tracking scene in clutters.
文摘In this letter,by employing Gaussian distribution to approximate the probability density function(pdf) of the extrinsic information at the output of the multiuser detector as a function of the pdf of the input extrinsic messages,it is concluded that the Probabilistic Data Association(PDA) algorithm is equivalent to the Soft Interference Cancellation plus Minimum Mean Square Error algo-rithm(SIC-MMSE) .
文摘针对联合概率数据关联(JPDA,Joint Probabilistic Data Association)算法关联概率计算过于复杂,无法适应复杂电磁环境下多目标实时跟踪的需求,提出了一种改进的JPDA算法(MJPDA)。首先,考虑多重因素重新定义关联矩阵,并计算关联概率;其次,对密集杂波下公共量测的关联概率进行修正,引入马氏距离对公共量测进行二次加权,同时考虑公共与非公共量测数目的影响,最后计算修正关联概率。该算法规避了确认矩阵的拆分,有效解决了JPDA算法计算量随杂波密度增加呈指数级增长的问题。通过理论分析和蒙特卡罗仿真实验结果表明,在密集杂波环境下,改进算法具有良好的跟踪性能和较小的计算量,显著提升了算法的实时性。
文摘本论文研究了基于同步DS-CDMA协作通信系统的迭代接收机性能,该系统在协作伙伴节点端和基站端均使用由随机数据联合检测器与LDPC译码器级联(PDA+LDPC,probabilistic data association+low density parity check codes)所组成的迭代接收机,利用从该迭代接收机所提供的信息,提出了一种集中式协作伙伴节点选择策略。根据该策略,由于距离基站较近的节点与基站间通信能力相对较强,每个信源节点将优先选择距离基站近的节点作为其协作伙伴节点,仿真结果表明,本文所提出的集中式协作伙伴节点选择策略可取得较好的系统性能。
文摘针对同步DS-CDMA协作通信系统,本文考虑在转发节点端和基站端使用随机数据联合检测算法(probabilistic data association algorithm,PDA)与LDPC码译码器级联的迭代接收机PDA+LDPC,基于该迭代接收机结构,给出了一种分布式协作通信策略,研究表明,该策略较集中式协作伙伴选择策略和传统的DAF协作通信策略可取得更好的系统性能。
基金Supported by the National Natural Science Foundation of China (No. 60772061)Science Foundation of Nanjing University of Posts and Telecommunications (No. NY207132)the Postdoctoral Research Programs (No. 0801054B)
文摘This paper considers the uplink of a cooperative Code-Division Multiple-Access (CDMA) system where parts of mobile nodes serve as source nodes while the others serve as relay nodes at any instant in time. When the non-orthogonal spreading codes are adopted,Multiple Access Interference (MAI) will exist at both the relay nodes and the base node,causing diversity gain to diminish. To mitigate MAI and exploit full advantages of cooperation,the Probabilistic Data Association (PDA) is developed at the relay nodes and the base node. Simulation results demonstrate that some performance gains can be obtained by the PDA detector over the Minimum Mean Square Error (MMSE) detector at high Signal-to-Noise Ratio (SNR) and conversely at low SNR.
