基于岭估计理论实现GPS快速定位研究

针对在短时间内 GPS观测方程的法方程容易形成病态的实际 ,探讨用岭估计理论消除其病态性的方法 ,然后用 LAMBDA方法确定其整周模糊度。实验证明 ,对于单频 GPS接收机 ,在 1 min左右 ,利用该技术即可正确确定整周模糊度 ,从而实现厘米级定位     

短波信道多普勒扩展仿真与实现

针对直接FIR滤波和多级内插滤波生成衰落因子的算法中存在算法复杂度高、计算效率低、存储空间大等问题,文章研究了一种多级迭代滤波的算法,以降低算法复杂度和减少存储空间,实时生成衰落因子;并进行了算法的复杂度分析和仿真实现,验证了算法的有效性.     

E1784K基因变异与钠离子通道病建模与仿真(英文)

临床报道发现SCN5A上的一个位点突变E1784K基因变异会导致同时出现长QT间期III型综合征和Brugada综合征的特征。E1784K基因变异引起钠离子通道功能改变,但无法确定钠离子通道功能的改变是否能够解释LQT3和BrS交叠现象。为分析该问题,建立了详细的计算模型,从动作电位、有效不应期和伪心电图三方面进行仿真。仿真结果表明E1784K基因突变导致钠离子通道改变不能直接解释LQT3和BrS心电图特征交叠现象,而间接引起的ITo或者ICaL重构可以解释该现象。     

基于极化时频分布的改进DOA估计算法

针对雷达回波信号波达方向估计精度差和时频分析方法运算量大的问题,以极化敏感阵列为模型,结合时频分析方法,充分利用回波信号的空域、时频域和极化域信息,对雷达回波信号进行更准确的估计,并简化其计算量。分析基于空间极化时频分布的多重信号分类(MUSIC)和旋转不变子空间(ESPRIT)算法,并结合两者的优缺点提出了一种改进算法。改进算法用极化时频ESPRIT算法对来波信号确定大致的方位角,以每个方位角为中心确定一个小角度范围,在此范围内用MUSIC算法进行谱峰搜索,得到较准确的波达方向(DOA)估计值,在确保DOA估计精度的基础上节省大部分运算时间。仿真试验验证了该改进算法的有效性。     

Implementation and performance analysis of accurate localization of short-range targets based on multisensor systems

Ｉｎｒｅｃｅｎｔｙｅａｒｓ，ｗｉｔｈｔｈｅａｐｐｅａｒａｎｃｅｏｆｐｒｅ－ｃｉｓｉｏｎ－ｇｕｉｄｅｄｗｅａｐｏｎｓ，ｔｈｅｄｅｆｅｎｓｅｓｙｓｔｅｍｆｏｒｉｍｐｏｒｔａｎｔａｐｐａｒａｔｕｓｈａｓｅｎｃｏｕｎｔｅｒｅｄｎｅｗｄｉｆｉ－ｃｕｌｔｙ．Ｉｆ...     

Relative position and attitude estimation of spacecrafts based on dual quaternion for rendezvous and docking

The capacity to acquire the relative position and attitude information between the chaser and the target satellites in real time is one of the necessary prerequisites for the successful implementation of autonomous rendezvous and docking. This paper addresses a vision based relative position and attitude estimation algorithm for the final phase of spacecraft rendezvous and docking. By assuming that the images of feature points on the target satellite lie within the convex regions, the estimation of the relative position and attitude is converted into solving a convex optimization problem in which the dual quaternion method is employed to represent the rotational and translational transformation between the chaser body frame and the target body frame. Due to the point-to-region correspondence instead of the point-to-point correspondence is used, the proposed estimation algorithm shows good performance in robustness which is verified through computer simulations.     

Location-aware channel estimation for capacity gains on multibeam satellite links

Bandwidth is an expensive and scarce resource, thus its efficient exploitation is of paramount importance. Recent communication satellites feature sophisticated spatial access strategies through spot beams providing this way a total throughput in the range of 100 Gbit/s. Next generations of communication satellites, as postulated in the Satellite Communications Network of Experts (SatNEx) III, a project funded by the European Space Agency (ESA) for advanced research in satellite communications, require technological developments to achieve the Tbit/s region. Multibeam architectures formed by a central gateway, a multibeam satellite, and an aggressive frequency reuse strategy can meet such ambitious design goals. Interference problems are tackled by appropriate countermeasures such as (joint) precoding and beamforming on the forward link as well as multi-user detection on the return link; these methods require accurate and timely knowledge of the channel state, which in turn necessitates suitable algorithms for channel estimation. This paper addresses performance issues related to channel state estimation on the symbol-synchronous forward link and the frame-synchronous return link. It highlights for both directions the potential performance gain by assuming a priori knowledge of the user position, in this context referred to as location-aware channel estimation.     

PHITS simulations of the Matroshka experiment

The radiation environment in space is very different from the one encountered on Earth. In addition to the sparsely ionizing radiation, there are particles of different Z with energies ranging from keV up to hundreds of GeV which can cause severe damage to both electronics and humans. It is therefore important to understand the interactions of these highly ionizing particles with different materials such as the hull of space vehicles, human organs and electronics. We have used the Particle and Heavy-Ion Transport code System (PHITS), which is a three-dimensional Monte Carlo code able to calculate interactions and transport of particles and heavy ions with energies up to 100 GeV/nucleon in most matter. PHITS is developed and maintained by a collaboration between RIST (Research Organization for Information Science & Technology), JAEA (Japan Atomic Energy Agency), KEK (High Energy Accelerator Research Organization), Japan and Chalmers University of Technology, Sweden. For the purpose of examining the applicability of PHITS to the shielding design we have simulated the ESA facility Matroshka (MTR) designed and lead by the German Aerospace Center (DLR). Preliminary results are presented and discussed in this paper.     

Real-time fault detection method based on belief rule base for aircraft navigation system

Real-time and accurate fault detection is essential to enhance the aircraft navigation system’s reliability and safety. The existent detection methods based on analytical model draws back at simultaneously detecting gradual and sudden faults. On account of this reason, we propose an online detection solution based on non-analytical model. In this article, the navigation system fault detection model is established based on belief rule base (BRB), where the system measuring residual and its changing rate are used as the inputs of BRB model and the fault detection function as the output. To overcome the drawbacks of current parameter optimization algorithms for BRB and achieve online update, a parameter recursive estimation algorithm is presented for online BRB detection model based on expectation maximization (EM) algorithm. Furthermore, the proposed method is verified by navigation experiment. Experimental results show that the proposed method is able to effectively realize online parameter evaluation in navigation system fault detection model. The output of the detection model can track the fault state very well, and the faults can be diagnosed in real time and accurately. In addition, the detection ability, especially in the probability of false detection, is superior to offline optimization method, and thus the system reliability has great improvement.