MC-CDMA应用于TDRSS多址业务的关键技术研究

传统TDRSS的多址业务采用单载波CDMA扩频方式,数据传输速率和频带利用率低,设备复杂。采用MC-CDMA方式代替现有的单载波CDMA方式,并结合TDRSS的应用环境对MC-CDMA上下行链路的结构进行分析,探讨了扩频序列设计、信道估计和系统同步等方面有关关键技术问题的解决方法。     

DOA estimation and mutual coupling calibration with the SAGE algorithm

In this paper, a novel algorithm is presented for direction of arrival（DOA） estimation and array self-calibration in the presence of unknown mutual coupling. In order to highlight the relationship between the array output and mutual coupling coefficients, we present a novel model of the array output with the unknown mutual coupling coefficients. Based on this model, we use the space alternating generalized expectation-maximization（SAGE） algorithm to jointly estimate the DOA parameters and the mutual coupling coefficients. Unlike many existing counterparts, our method requires neither calibration sources nor initial calibration information. At the same time,our proposed method inherits the characteristics of good convergence and high estimation precision of the SAGE algorithm. By numerical experiments we demonstrate that our proposed method outperforms the existing method for DOA estimation and mutual coupling calibration.     

Multi-h CPM遥测信号的定时频率联合估计技术

针对Multi-h CPM（Multi-h Continue Phase Modulation,多指数连续相位调制）遥测接收机的符号定时和载波频率同步问题,在分析MLSD（Maximum-likelihood Sequence Detection,最大似然序列检测）度量值是符号定时偏差和频率偏差的凸函数的基础上,提出一种基于迟/早门和升/降频门的符号定时和频率同步联合估计算法,通过似然值比较,对符号定时偏差和频率偏差进行迭代估计;并对该算法进行仿真,得到不同参数下的同步性能,给出同步参数选择建议.仿真结果表明：将该算法应用到Multi-h CPM遥测系统中,可实现低信噪比信号的快捕和高精度同步.     

基于流形结构重建的多目标气动优化算法

在多目标优化中,Pareto解集是一个分段连续的k维流形,这一规律被传统进化算法所忽略。本文提出了一种基于流形结构重建的多目标优化算法,首先利用流形结构重建方法完成解集分布从目标空间到设计空间的映射,建立解集的概率分布,并在目标空间中扩展流形结构,从而借助解集在目标空间的推进来指导优化算法的快速演化。数值算例表明本文算法对于具有不同特征的Pareto前沿具有很好的适应性,能够极大提高算法的收敛效率。多目标气动优化算例验证,本文算法相比于常规多目标进化算法能够减少约80%的计算量,极大程度缩短了气动设计的周期。     

Adaptive Gaussian sum squared-root cubature Kalman filter with split-merge scheme for state estimation

The paper deals with state estimation problem of nonlinear non-Gaussian discrete dynamic systems for improvement of accuracy and consistency. An efficient new algorithm called the adaptive Gaussian-sum square-root cubature Kalman filter（AGSSCKF） with a split-merge scheme is proposed. It is developed based on the squared-root extension of newly introduced cubature Kalman filter（SCKF） and is built within a Gaussian-sum framework. Based on the condition that the probability density functions of process noises and initial state are denoted by a Gaussian sum using optimization method, a bank of SCKF are used as the sub-filters to estimate state of system with the corresponding weights respectively, which is adaptively updated. The new algorithm consists of an adaptive splitting and merging procedure according to a proposed split-decision model based on the nonlinearity degree of measurement. The results of two simulation scenarios（one-dimensional state estimation and bearings-only tracking） show that the proposed filter demonstrates comparable performance to the particle filter with significantly reduced computational cost.     

单天基平台测向的空间非合作目标跟踪

针对仅含角度测量信息的单个天基平台可观测性较弱的问题,提出了一种含脉冲机动检测的空间非合作目标跟踪算法,并设计了非合作目标实时跟踪数据处理流程.该算法利用抗差估计技术和UKF（Unscented Kalman Filter,无迹卡尔曼滤波）算法构造目标跟踪滤波器,并综合残差多项式拟合和新息分布特征等方法实现目标机动检测,在天基平台观测信息类型有限和观测几何较差的情况下,可以同时排除孤立野值和成片测量野值的影响,实现非合作机动目标的连续稳定跟踪.数值实验验证了算法的可行性和有效性,也表明了跟踪精度和可靠性与测量精度密切相关.     

一种新的最大似然三参数单站无源定位方法

在质点运动学原理无源定位的基础上 ,提出了利用角度、角速度和多普勒频率变化率 (三参数 )等观测量进行最大似然单站无源定位的方法 ,并且分析了它的定位精度问题 ,通过仿真试验证明这种定位算法具有定位精度高和收敛速度快的优点     

利用定标站对旋转扫描扇形波束散射计的信号频率估计

该文基于中法海洋卫星(Chinese-French Oceanic Satellite,CFOSAT)雷达散射计系统参数,给出了可行的在轨Doppler预补偿方法并利用地面定标站实现对RFSCAT信号频率的估计.对比了3种信号频率估计方法,通过仿真分析表明,可达到优于0.05kHz的频率估计精度.仿真结果表明,通过把估计的频率与Doppler预补偿查找表和Doppler频率进行比较,可实现对RFSCAT在轨Doppler预补偿状态及生命周期内的载频漂移监测.     

确定无陀螺卫星姿态的二阶非线性滤波算法研究

应用基于二阶泰勒级数近似得到的非线性滤波技术,设计了利用星敏感器矢量观测信息确定无陀螺三轴稳定卫星姿态的二阶非线性滤波算法.结合矢量观测的特点,分别讨论了单矢量观测信息与多矢量观测信息的处理方法,并把QUEST算法作为矢量观测数据压缩技术有效地结合进姿态估计器中,使得多矢量观测情况下的滤波修正算法得到了简化.仿真测试结果证明,二阶非线性姿态估计器的滤波性能要优于传统的扩展卡尔曼滤波姿态估计算法.