基于杂波对消-自聚焦的多通道SAR-GMTI

对超高频(UHF)波段多通道合成孔径雷达(SAR)动目标检测技术进行研究,解决了长相干积累时间导致动目标在方位向散焦严重的问题。采用分块自聚焦技术对多通道SAR地面移动目标指示(GMTI)系统自适应杂波抑制后的SAR图像进行处理,改善杂波抑制后的SAR图像中动目标的聚焦情况,增强动目标与周围剩余杂波的对比度,进而提高恒虚警率(CFAR)检测的性能。与传统杂波抑制后直接进行CFAR检测方法相比较,该方法降低了检测虚警概率。实测数据处理结果显示动目标的信杂比明显提高,动目标方位向聚焦成功,证明了该方法的有效性。     

A New Exposed-terminal-free MAC Protocol for Multi-hop Wireless Networks

This article presents a new multichannel medium access control (MAC) protocol to solve the exposed-terminal (ET) problem for efficient channel sharing in multi-hop wireless networks. It uses request-to-send and clear-to-send (RTS/CTS) dialogue on a common channel and flexibly opts for conflict-free traffic channels to carry out the data packet transmission on the basis of a new channel selection scheme. The acknowledgment (ACK) packet for the data packet transmission is sent back to the sender over another common channel thus completely eliminating the exposed-terminal effects. Any adjacent communication pair can take full advantage of multiple traffic channels without collision and the spatial reuse of the same channel is extended to other communication pairs which are even within 2 hops from them. In addition, the hidden-terminal effect is also considerably reduced because most of possible packet collisions on a single channel are avoided due to traffic load balance on multichannels. Finally, a performance comparison is made between the proposed protocol and other typical MAC protocols. Simulation results evidence its obvious superiority to the MAC protocols associated with other channel selection schemes and traditional ACK transmission scheme as well as cooperative asynchronous multichannel MAC (CAM-MAC) protocol in terms of four performance indices: total channel utilization, average channel utilization, average packet delay, and packet dropping rate.     

STUDY ON FAST TRANSVERSAL FILTER (FTF)ALGORITHM FOR ACTIVE CONTROL OF STRUCTURAL RESPONSE (ACSR) OF HELICOPTER

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飞机颤振模态参数的频域子空间辨识

 研究了基于非参数噪声模型的频域子空间系统辨识法，并采用频域子空间辨识算法实现了基于多通道数据的颤振模态参数辨识，改变了传统的单通道颤振试验数据分析模式，试验结果表明子空间算法能有效提取多通道数据中包含的主要危险模态信息，且计算量小，适用于模态参数的在线分析。     

A non-local vectorial total variational model for multichannel SAR image speckle suppression

This paper aims at the multichannel synthetic aperture radar(SAR)image speckle reduction.This paper proposes a novel energy minimized regularization model for multichannel image denoising,which is an extension of the non-local total variational model for gray-scale image.It contains two terms,namely the vectorial data fidelity term and the non-local vectorial total variation term.The latter is constructed by high-dimensional non-local gradient that contains the structure information of the multichannel image.The existence and the uniqueness of the solution of the model are proved.A fixed point iterative algorithm is designed to acquire the solution of this model.The convergence property of this algorithm is proved as well.This model is applied to the multipolarimetric and multi-temporal RADARSAT-2 images despeckling.The result shows that this model performs better than the original vectorial total variational model on texture preserving.     

基于压缩感知的MIMO-SAR运动误差补偿与成像

多发多收合成孔径雷达（MIMO-SAR）利用多通道空间并行采样的优势可实现高分辨成像,但不可避免地存在运动误差与海量数据不便于存储与传输的问题。针对该问题提出一种基于压缩感知的MIMO-SAR运动误差补偿与成像方法。首先通过详细分析MIMO-SAR运动误差回波信号模型,在全采样条件下利用两步运动补偿技术实现对回波数据的运动误差补偿处理,其次针对降采样回波数据的运动误差补偿,通过构造变换算子与压缩感知（CS）重构模型的方法实现第1步运动误差补偿、距离脉压以及距离徙动校正处理,然后再进行第2步误差补偿与方位向脉压处理获得成像结果。最后通过仿真实验验证了所提方法能够在大幅压缩回波数据的情况下,实现MIMO-SAR运动误差补偿与成像处理。     

基于全航段QAR数据和卷积神经网络的航空发动机状态辨识

为了充分挖掘全航段飞行数据中蕴含的丰富信息以提高发动机状态辨识的准确率,提出一种基于全航段快速存取记录器（QAR）数据和卷积神经网络的发动机状态辨识方法。该方法将每次飞行循环的全航段QAR数据变换为一个红绿蓝（RGB）多通道样本实现全航段数据图像化处理,根据发动机维修记录中的水洗时间,将发动机划分为不同的衰退状态,采用卷积神经网络对不同衰退状态进行分类和辨识。该方法经某航空公司飞机QAR数据验证,结果表明：基于全航段QAR数据的衰退状态辨识算法的精确度相比于仅使用巡航段数据的精确度提升超过13%,辨识准确率达到98%。     

Multichannel Recovery of Quadrature Components of Bandpass Signals

The problem of sampling signals maintaining the theoretically minimum (average) sampling rate and allowing a separate interpolation is considered from a general point of view. The formulation will follow a recently published method for multichannel sampling; this way there is the advantage of working with functions depending only on the frequency and not on time and frequency as in other approaches. This simplifies the general expressions and the determination of separation conditions. Under the assumption of nonsingularity of certain matrices, we obtain the necessary and sufficient conditions for a separate interpolation and discuss them. Finally, an especially important case is considered as an example.     

Parametric Rao Test for Multichannel Adaptive Signal Detection

The parametric Rao test for a multichannel adaptive signal detection problem is derived by modeling the disturbance signal as a multichannel autoregressive (AR) process. Interestingly, the parametric Rao test takes a form identical to that of the recently introduced parametric adaptive matched filter (PAMF) detector for space-time adaptive processing (STAP) in airborne surveillance radar systems and other similar applications. The equivalence offers new insights into the performance and implementation of the PAMF detector. Specifically, the Rao/PAMF detector is asymptotically (for large samples) a parametric generalized likelihood ratio test (GLRT), due to an asymptotic equivalence between the Rao test and the GLRT. The asymptotic distribution of the Rao test statistic is obtained in closed form, which follows an exponential distribution under the null hypothesis H ₀ and, respectively, a noncentral Chi-squared distribution with two degrees of freedom under the alternative hypothesis H ₁. The noncentrality parameter of the noncentral Chi-squared distribution is determined by the output signal-to-interference-plus-noise ratio (SINR) of a temporal whitening filter. Since the asymptotic distribution under H ₀ is independent of the unknown parameters, the Rao/PAMF asymptotically achieves constant false alarm rate (CFAR). Numerical results show that these results are accurate in predicting the performance of the parametric Rao/PAMF detector even with moderate data support.     

Emulating random process target statistics (using MSF)

The topics of matrix spectral factorization (MSF) in conjunction with results from realization theory are applied here in simulating a stationary multi-input/multi-output (MIMO) linear system from a specified power spectral density matrix. MSF provides the appropriate transfer function matrix and realization theory specifies the corresponding parameters of a linear system having this transfer function This approach can be used to correctly capture the cross correlations that exist in a multichannel vector random process (representing a particular radar target signature). Aspects of the solution to this problem are illustrated using an original representative example problem with a closed-form answer. Existing software programs for accomplishing MSF are identified and one has been successfully validated using the known closed-form solution mentioned above. A streamlined realization algorithm (offered here as the primary theoretical contribution) can be used along with the MSF computer program and can now be applied to actual radar data. Besides multichannel spectral estimation, several other important applications of this same MSF solution methodology are summarized in Appendix B including extending applicability to the complex case (to handle radar polarization issues related to coherent phase processing), and finally in reexpressing second order statistics of a multichannel autoregressive moving average (ARMA) process as those of a simpler but mathematically equivalent autoregressive (AR) process of slightly higher dimensions (as another original application of the same major result offered here)     

光纤陀螺多通道并行自动测试工艺技术

针对光纤陀螺测试过程中,测试项目多、步骤复杂、测试时间长、人为记录数据容易出错等问题,在分析测试内容的基础上提出多通道并行测试方案,设计测试工装、电缆、电路等硬件系统,开发相应的测试软件。与单只光纤陀螺测试方法相比,能够有效地减少光纤陀螺的测试时间,提高测试效率。     

Creating complex signal samples from a band-limited real signal

A very efficient method of creating complex signal samples from a band-limited real signal is presented. Because the method employs a simple mixer followed by one analog-to-digital (A/D) converter, plus a finite-duration impulse response (FIR) filter for image band rejection, there is no phase distortion in the resulting sampled signal. The method is more efficient than competing methods based on infinite-duration impulse response (IIR) filters     

Omnidirectional integrated helicopter air data system based on the stationary multichannel aerometric transducer

In this paper, a problem of measuring the altitude-speed helicopter performance in the range of low and near-zero flight velocities is considered. The structural functional scheme of the omnidirectional helicopter air data system based on the stationary aerometric multichannel transducer (AMT) as well as the jet-convective measuring channels is shown and algorithms for the formation of the system output signals are presented. In order to extend the lower bound of operating speeds, it is proposed that the omnidirectional system be integrated with the aeromechanical measuring computer system that realizes the VIMI method with Luenberger’s observer. Also given is the algorithm support and the accuracy of the integrated system operation is estimated.     

Partial Discharge Testing under Direct Voltage Conditions

DC partial discharge (PD) (corona) testing is performed using a multichannel analyzer for pulse storing, and data is collected during increase of voltage and at quiescent voltage levels. Thus high voltage ceramic disk capacitors were evaluated by obtaining PD data interspersed during an accelarated life test. Increased PD activity was found early in samples that later failed catastrophically. By this technique, trends of insulation behavior are revealed sensitively and nondestructively in high voltage dc components.     

Estimation of the covariance matrix for dependent signal samples:polarization diversity systems

The problem of the estimation of covariance matrices in multichannel radar system when signal samples are statistically dependent is addressed. An optimal maximum likelihood (ML) estimate is derived. Probability characteristics and sensitivity to signal models of the estimate are evaluated for a polarization diversity system     

基于飞秒光学频率梳的双通道光频测量设计

基于差频技术的单块飞秒光学频率梳被广泛应用于光频的精密测量领域。通过将飞秒激光的重复频率和载波包络相移同时锁定至原子钟上,可以将飞秒光学频率梳的稳定状态延长至9 h。文中提出了一种基于飞秒光学频率梳的双通道光频测量设计,并且针对两种待测光频的不同情况,给出了不同的测量方法。这种设计对将来实现高效率的光频测量具有重要意义。     

An interior point linear programming approach to two-scan dataassociation

We present an efficient two-scan data association method (TSDA) based on an interior point linear programming (LP) approach. In this approach, the TSDA problem is first formulated as a 3-dimensional assignment problem, and then relaxed to a linear program; the latter is subsequently solved by the highly efficient homogeneous, self-dual interior point LP algorithm. When the LP algorithm generates a fractional optimal solution, we use a technique similar to the joint probabilistic data association method (JPDA) to compute a weighted average of the resulting fractional assignments, and use it to update the states of the existing tracks generated by Kalman filters. Unlike the traditional single scan JPDA method, our TSDA method provides an explicit mechanism for track initiation. Extensive computer simulations have demonstrated that the new TSDA method is not only far more efficient in terms of low computational complexity, but also considerably more accurate than the existing single-scan JPDA method     

编织型复合材料的冲击及冲击后压缩强度的试验研究

通过对冲头进行设计 ,和采用多通道的数据采集系统 ,得到较为详尽的冲击响应的过程 (包括冲击力 ,试件的正背面响应 ,离冲击点不同距离的响应 )。并且本文还进行了冲击后的压缩试验 ,对编织型复合材料在不同冲击能量下的压缩破坏载荷 ,及损伤后不同位置的响应进行了记录和讨论 ,是一个全面了解冲击和冲击后压缩的应力分布和破坏载荷的较为满意的实验研究方法     

轮盘槽底低周疲劳寿命预测

航空构件要求重量轻,多半采用弹塑性设计,应力集中区域的材料通常是应变循环而不是应力循环,所以局部应变法已成为比较流行的一种寿命预测方法。本文采用了这种方法。鉴于试验更能真实地反映疲劳累积损伤的过程,所以本文除了用局部应变理论估算寿命之外,还利用光滑试样的疲劳试验预测了轮盘槽底的裂纹起始寿命。实践证明这种寿命预测方法比仅用计算公式估算寿命效果要好。对于中值寿命,轮盘和光滑试样的寿命之比仅为1.2倍。