To bridge the performance gap between original probability data association （PDA） algorithm and the optimum maximum a posterior （MAP） algorithm for multi-input multi-output （MIMO） detection, a grouped PDA （GP-...To bridge the performance gap between original probability data association （PDA） algorithm and the optimum maximum a posterior （MAP） algorithm for multi-input multi-output （MIMO） detection, a grouped PDA （GP-PDA） detection algorithm is proposed. The proposed GP-PDA method divides all the transmit antennas into groups, and then updates the symbol probabilities group by group using PDA computations. In each group, joint a posterior probability （APP） is computed to obtain the APP of a single symbol in this group, like the MAP algorithm. Such new algorithm combines the characters of MAP and PDA. MAP and original PDA algorithm can be regarded as a special case of the proposed GP-PDA. Simulations show that the proposed GP-PDA provides a performance and complexity trade, off between original PDA and MAP algorithm.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
Joint Probabilistic Data Association (JPDA) is a very fine optimal multitarget tracking and association algorithm in clutter. However, the calculation explosion effect in computation of association probabilities has b...Joint Probabilistic Data Association (JPDA) is a very fine optimal multitarget tracking and association algorithm in clutter. However, the calculation explosion effect in computation of association probabilities has been a difficulty. This paper will discuss a method based on layered searching construction of association hypothesis events. According to the method, the searching schedule of the association events between two layers can be recursive and with independence, so it can also be implemented in parallel structure. Comparative analysis of the method with relative methods in other references and corresponding computer simulation tests and results are also given in the paper.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
对含有系统误差的测量进行配准是准确进行数据关联的前提.实际中,许多不确定性因素导致系统误差,使其演化模型难以建立,从而导致传统配准方法不再适用.为此,提出一种基于优化SA-PSO(simulated annealing particle swarm optimization)...对含有系统误差的测量进行配准是准确进行数据关联的前提.实际中,许多不确定性因素导致系统误差,使其演化模型难以建立,从而导致传统配准方法不再适用.为此,提出一种基于优化SA-PSO(simulated annealing particle swarm optimization)的配准算法.由于传感器监视空域经常受到杂波的影响,在利用SA-PSO优化算法对系统误差进行配准时,不仅要考虑外界因素所引发系统误差的不确定性问题,还要考虑目标多个量测的归属问题.基于此,提出一种联合改进退火粒子群优化和概率数据关联的算法SA-PSO-PDA(simulated annealing and particle swarm optimization and probability data association),它综合考虑系统误差的随机性、寻优的最佳化和目标量测的多样性.仿真结果表明了所提算法具有可行性,且能较好地寻优系统误差参数.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
基金Sponsored by the National Natural Science Foundation of China(60572120)
文摘To bridge the performance gap between original probability data association （PDA） algorithm and the optimum maximum a posterior （MAP） algorithm for multi-input multi-output （MIMO） detection, a grouped PDA （GP-PDA） detection algorithm is proposed. The proposed GP-PDA method divides all the transmit antennas into groups, and then updates the symbol probabilities group by group using PDA computations. In each group, joint a posterior probability （APP） is computed to obtain the APP of a single symbol in this group, like the MAP algorithm. Such new algorithm combines the characters of MAP and PDA. MAP and original PDA algorithm can be regarded as a special case of the proposed GP-PDA. Simulations show that the proposed GP-PDA provides a performance and complexity trade, off between original PDA and MAP algorithm.
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) .
基金Supported by Defense Advanced Research Fund of China
文摘Joint Probabilistic Data Association (JPDA) is a very fine optimal multitarget tracking and association algorithm in clutter. However, the calculation explosion effect in computation of association probabilities has been a difficulty. This paper will discuss a method based on layered searching construction of association hypothesis events. According to the method, the searching schedule of the association events between two layers can be recursive and with independence, so it can also be implemented in parallel structure. Comparative analysis of the method with relative methods in other references and corresponding computer simulation tests and results are also given in the paper.
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。
文摘对含有系统误差的测量进行配准是准确进行数据关联的前提.实际中,许多不确定性因素导致系统误差,使其演化模型难以建立,从而导致传统配准方法不再适用.为此,提出一种基于优化SA-PSO(simulated annealing particle swarm optimization)的配准算法.由于传感器监视空域经常受到杂波的影响,在利用SA-PSO优化算法对系统误差进行配准时,不仅要考虑外界因素所引发系统误差的不确定性问题,还要考虑目标多个量测的归属问题.基于此,提出一种联合改进退火粒子群优化和概率数据关联的算法SA-PSO-PDA(simulated annealing and particle swarm optimization and probability data association),它综合考虑系统误差的随机性、寻优的最佳化和目标量测的多样性.仿真结果表明了所提算法具有可行性,且能较好地寻优系统误差参数.
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。
