基于互谱测度法的多通道SAR散射波干扰抑制研究

散射波干扰极大地破坏了合成孔径雷达(Synthetic Aperture Radar,SAR)对地物目标的识别,利用快时间STAP(Space Fast-time Adaptive Processing)可以对散射波干扰进行有效抑制。该文针对多通道SAR, 讨论了互谱测度法在散射波干扰抑制中的应用,分析了干扰加噪声协方差矩阵的互谱,仿真讨论了互谱测度法求解的加权矢量对散射波干扰抑制性能的影响,并和基于主分量分析的散射波干扰抑制算法性能进行了比较。仿真结果表明在同样的自由度下,互谱测度法较主分量分析法可以取得较优的散射波干扰抑制性能。     

基于主成分分析的光谱重建训练样本选择方法研究

训练样本构成是影响光谱重建精度的一个重要因素,针对学习型光谱重建算法中训练样本选择问题,提出了一种基于主成分分析的训练样本选择方法。为了保证训练样本与重建样本的相似度,首先根据欧式距离最小原则从待选样本集中选择与重建样本相机响应值相似的样本,并去掉其中的重复样本;然后进行主成分分析;设定阈值筛选各主成分系数较大的样本作为训练样本,最后得到与主成分个数相同的训练样本子集。为验证该方法的有效性,通过在镜头前加载宽带滤色片搭建多通道图像获取系统采集多通道图像信息,将得到的各样本子集用作训练样本,利用伪逆法重建光谱信息,最后将重建的光谱精度与常用的训练样本及训练样本选择方法得到的重建光谱精度进行比较。实验结果表明：提出的方法显著提高了光谱重建的色度精度和光谱精度,优于常用的样本选择方法,能较大程度满足高精度颜色复制要求。     

Throughput and delay analysis of multi-channel wireless infrastructure networks

Wireless infrastructure networks (WINs) provide ubiquitous connectivity to mobile nodes in metro areas. The nodes in such backbone networks are often equipped with multiple transceivers to allow for concurrent transmissions in multiple orthogonal channels. In this study, we develop an analytical model for the estimation of the delay and throughput performance of wireless infrastructure networks employing slotted ALOHA channel access and slotted Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) over multiple channels. The analytical model, which takes into account the correlation due to multi-hop transmissions, approximates the performance observed through simulations accurately.     

方位多通道合成孔径雷达数据重建方法

多通道合成孔径雷达可以突破传统SAR不能同时实现高分辨宽测绘带的限制,是SAR发展的必然趋势,在成像处理时,它必须重建方位均匀采样数据。该文提出了一种基于降升调频斜率技术的处理方法,利用线性调频信号特性对方位非均匀数据进行解线性调频处理,然后采用升采样参考函数进行逆解线性调频处理,即完成方位数据的均匀重建。文中给出了信号处理流程,并与重建滤波器组法进行了比较。仿真结果证明了理论分析的正确性。     

Self-tuning distributed measurement fusion Kalman estimator for the multi-channel ARMA signal

For the multisensor multi-channel autoregressive moving average (ARMA) signal with white measurement noises and a common disturbance measurement white noise, when the model parameters and the noise variances are all unknown, a multi-stage information fusion identification method is presented, where the consistent fused estimates of the model parameters and noise variances are obtained by the multi-dimension recursive instrumental variable (RIV) algorithm, correlation method and Gevers-Wouters algorithm with a dead band. Substituting these estimates into the optimal distributed measurement fusion Kalman signal estimator, a self-tuning distributed measurement fusion Kalman signal estimator is presented. Its convergence is proved by the dynamic error system analysis (DESA) method, so that it has asymptotical global optimality. In order to reduce computational load, a fast recursive inversion algorithm for a high-dimension matrix is presented by the inversion formula of partitioned matrix. Especially, when the process and measurement noise variance matrices are all diagonal matrices, the inversion formula of a high-dimension matrix is presented, which extends the formula of the inverse of Pei-Radman matrix. Applying the proposed inversion algorithm, the computation of the fused measurement and fused noise variance is simplified and their computational burden is reduced. A simulation example shows effectiveness of the proposed method.     

Quillen superconnections and connections on supermanifolds

Given a supervector bundle $E=E_0\oplus E_1\to M$, we exhibit a parametrization of Quillen superconnections on $E$ by graded connections on the Cartan–Koszul supermanifold $(M,\Omega \left(M\right))$. The relation between the curvatures of both kind of connections, and their associated Chern classes, is discussed in detail. In particular, we find that Chern classes for graded vector bundles on split supermanifolds can be computed through the associated Quillen superconnections.     

Fast algorithm for non-uniformly sampled signal spectrum reconstruction

In this paper, a fast algorithm to reconstruct the spectrum of non-uniformly sampled signals is proposed. Compared with the original algorithm, the fast algorithm has a higher computational efficiency, especially when sampling sequence is long. Particularly, a transformation matrix is built, and the reconstructed spectrum is perfectly synthesized from the spectrum of every sampling channel. The fast algorithm has solved efficiency issues of spectrum reconstruction algorithm, and making it possible for the actual application of spectrum reconstruction algorithm in multi-channel Synthetic Aperture Radar (SAR).     

Some remarks on the geometry of superspace supergravity

In this note, we first give a quick presentation of the supergeometry underlying supergravity theories, using an intrinsic differential geometric language. For this, we adopt the point of view of Cartan geometries, and rely as well on the work of John Lott, who has found a unified geometrical interpretation of the torsion constraints for many supergravity theories, based on the use of H-structures. In this framework, the constraints amount to requiring first-order integrability of H-structures, for a specific supergroup H.The supergroup H used by Lott is not the usual diagonal representation of the Lorentz group on superspace, but an extension of the latter. This extension appears to be natural and it can be related to the super-Poincaré group. We also observe that the constraints arising from the requirement of first-order integrability have basically the same form, in any spacetime dimension.Looking at supergravity from an affine viewpoint (i.e. as a gauge theory for the super-Poincaré group), we show that requiring first-order integrability amounts to requiring the equivalence, up to gauge transformations, between infinitesimal gauge supertranslations acting on the supervielbein and infinitesimal superdiffeomorphisms acting on the supervielbein.The latter action is performed through a covariant Lie derivative, whose expression involves naturally the supertorsion tensor. We use this expression to show that the term added to the spin connection, in the supercovariant derivative of d=11 supergravity, has a natural superspace origin. In particular, the 4-form field strength is related to a specific component of the supertorsion tensor.We conclude by some general remarks concerning Killing spinors in geometry and supergravity, discussing their possible interpretations, as Killing vector fields on a specific supermanifold on one hand, and as parallel spinors for an appropriate connection on the other hand. We show that this last interpretation is very natural from the point of view of Klein and Cartan geometries.     

Development of an automatic multi-channel ink-jet ejection chemiluminescence system and its application to the determination of horseradish peroxidase

In this work, an automatic multi-channel ink-jet for chemiluminescence (CL) analysis was developed. The four-channel ink-jet device was controlled by a home-made circuit. Differing from the classic flow injection CL, the whole procedure for CL analysis was automatically completed on a hydrophobic glass side. CL reaction of luminal and hydrogen peroxide for the determination of horseradish peroxidase (HRP) was selected as an application to automatic CL analysis platform. All solutions delivered by different channels were precisely ejected to the same position of the glass slide for the CL analysis. The consumption of reaction solution was reduced to nanoliter level. The whole CL analysis could be completed in less than 4 min, which was benefited from the prompt solution mixing in small size of droplet. The CL intensity increased linearly with HRP concentration in the range from 0.01 to 0.5 μg mL⁻¹. The limit of detection (LOD) (S/N = 3) was 0.005 μg mL⁻¹. Finally, the automatic CL system could also be used for the detection of HRP in HRP–protein conjugates, which showed its practical application in immunoassay.