Cardinality compensation method based on information-weighted consensus filter using data clustering for multi-target tracking

In this paper, a cardinality compensation method based on Information-weighted Consensus Filter(ICF) using data clustering is proposed in order to accurately estimate the cardinality of the Cardinalized Probability Hypothesis Density(CPHD) filter. Although the joint propagation of the intensity and the cardinality distribution in the CPHD filter process allows for more reliable estimation of the cardinality(target number) than the PHD filter, tracking loss may occur when noise and clutter are high in the measurements in a practical situation. For that reason, the cardinality compensation process is included in the CPHD filter, which is based on information fusion step using estimated cardinality obtained from the CPHD filter and measured cardinality obtained through data clustering. Here, the ICF is used for information fusion. To verify the performance of the proposed method, simulations were carried out and it was confirmed that the tracking performance of the multi-target was improved because the cardinality was estimated more accurately as compared to the existing techniques.     

Efficient and accurate online estimation algorithm for zero-effort-miss and time-to-go based on data driven method

This paper introduces a novel and efficient algorithm for online estimation of zero-effortmiss and time-to-go based on data driven method.Only missile-target separations are utilized to construct the estimation models, and a practical Fisher fusion algorithm is derived to acquire the estimates with high accuracy and computational efficiency.Further, the two parameters can be online estimated at a particular time.Meanwhile, the kinematics equations of the missile-target engagement are independent, and assumptions of the missile guidance system dynamics and behaviors of the missile and target are completely out of consideration.Moreover, the effectiveness and applicability are explicitly verified through various simulation scenarios.     

用于目标识别跟踪的雷达/红外成像双模传感器数据融合技术

目标识别和跟踪是模式识别领域的一重要研究内容。基于单传感器（ 雷达或红外成像） 的系统存在着局限性， 分析了多传感器信号融合的必要性， 介绍了目标识别和跟踪系统进行多传感器信号融合的方法（ 特征层融合、决策层融合）及其在提高目标识别和跟踪的可靠性和抗干扰性方面的优势。介绍了基于智能模型和基于多层前向网络的目标识别算法。     

基于功率估计的方位数据关联算法

将功率信息与电波传播相关理论引入到测向交叉定位的数据关联问题中,提出一种基于功率估计的方位数据关联算法。推导了阵列协方差矩阵中信号功率与阵列流型之间的关系,利用空间协方差逆矩阵高阶幂逼近噪声子空间的方法,在已知阵列流型的基础上准确获取各目标的功率参数,避免了幅值特征类关联算法易受噪声与信号波形影响的问题;根据功率和传播路径的衰减关系,构造方位组合与功率信息的关联置信度函数,挑选出正确的关联组合。仿真结果表明了算法的有效性和优越性。     

一种通用型箭载数据采集传输设备的设计与实现

本文结合国内外运载型号的发展趋势,梳理现役火箭遥测系统的应用需求,实现了一种基于VPX （新一代高速串行总线标准）总线架构的通用型箭载数据采集传输设备设计方案,对其关键技术如结构标准化技术、总线通用化技术、模块化技术等进行了重点分析。该方案对箭上设备的系统架构状态进行统一,大幅度提升设备的性能、集成度和通用性,满足型号未来应用需求,在航天领域具有广阔的发展前景。本文最后给出了该通用型箭载数据采集传输设备相比现役产品的优势。     

遥感卫星数据传输技术发展分析

在分析遥感卫星对该技术总体需求的基础上,从数据率、频段选择、数据压缩、调制解调、数据安全、编译码等几个方面对此项技术的发展进行了分析和预测,并提出了相应的对策。     

角位置定位误差检测及其补偿技术

角位置定位误差是定位定向设备标定转台的重要指标,其检测方法已有相关的标准可供参考。从不同的检测角度提出一种新的检测和数据处理方法,可有效解决转台产品安装面的实际角位置定位误差检测的问题。     

基于物理规划的数据中继卫星链路配置决策方法

将方案评价与决策的思想引入到卫星链路配置中,建立了中继卫星链路参数配置的多目标模型,并用"短板链路"优先配置的原则,将多目标模型缩减为三目标模型。采用基于物理规划的决策方法,给出了决策三目标配置模型最优解的具体实现算法。通过实例分析表明该决策方法是可行的。     

卫星数管等效器自校准功能的软件设计

针对某卫星数管等效器,设计了适应其自校准功能的软件部分。利用最小二乘法的曲线拟合方法以软件实现对AD的校准功能,提高数据采样的精度;根据参数校准的校准方法,阐明软件的设计思路与实现形式。设计表明,数管等效器的自校准功能能够满足其硬件的要求,提高可靠性,软件设计合理。     

一种具有高抗干扰能力高速数据链的设计与实现

简要介绍了数据链的基本概念和国内外发展状况,根据实际作战模式需求给出总体设计方案。详细给出了系统构架及设备组成,采用模块化设计方案,实现设备的通用化、小型化和轻质化。着重提出基于群聚（Orthogonal Frequency Division Multiplexing,OFDM）技术方案,以解决低仰角抗多径高速数据传输应用需求。实验结果表明总体方案可行,可以在后续武器型号中投入使用。