针对目前联合作战气象海洋保障体系信息化水平难以满足需求的问题,本文提出基于"云"的理念构建智能高效的联合作战气象海洋保障体系,建立基于"云"的气象海洋保障体系服务模型和部署模型.模型具体描述了基于"云"的气象海洋保障体系服务模式和部署方案,打造了"云+端"服务模式,实现了军委-战区两级部署、作战集团以终端模式连接云端.构建了气象海洋私有云加公有云的混合式部署模型,使二者的部署完全物理隔离,实现了个性化、可靠的私有保障服务,以及全面、便捷的公共保障服务.希冀本文能够为提升未来联合作战气象海洋保障能力提供有益参考.

《地理信息系统》是地球信息科学与技术专业的专业基础必修课，对于该专业学生掌握地理信息处理与分析相关专业知识，构建完善的知识体系结构起着重要作用。为满足部队地球信息科学与技术专业人才培养的需求，论文开展《地理信息系统》教学内容与教学方法的研究，主要围绕课程建设中的讲义编写，教学方法设计以及习题集编制等内容进行了探讨。

"地理信息系统"是一门实践性较强的专业课程,使学生在掌握地理信息系统相关概念、原理与方法的基础上,能应用GIS软件解决地学分析实际问题.在认清"地理信息系统"课程开展"课程思政"建设必要性的基础上,针对课程特点,从强化教师课程思政意识、挖掘课程的思政元素以及调整多元化教学方法三个方面,探讨了"地理信息系统"课程开展思政教学的方式方法,以期在传授专业知识的同时,逐步培养学生的家国情怀、个人品格以及科学素养,实现高校教育教学全过程和全方位育人.

In this paper, the web map application based on WebGIS was architected for geographic shapes creation and geospatial data analysis, providing a better and higher performance in an interactive mode. By integrating with geometric operation module provided by geospatial database, it is supported to create varied kinds of geometry shapes with complex structures and symmetric patterns in an easy way. The WebGIS application was designed in the form of the distributed architecture, providing visualization features of geometric operations and geospatial storages. It is feasible to support interactive features of geospatial analysis in an easy way, providing efficient security and better flexibility of map applications. The successful and efficient result indicates that it will bring scalable convenience and wide practicability in the area of complex geometric patterns design, including geographical regional planning and design.

Array gain for the vertical sensor array deployed in the reliable acoustic path (RAP) is simulated in this paper. A formula is developed to evaluate the vertical array gain based on the assumption that the ocean noise is Gaussian white and isotropic. The multiple-path structure in RAP is analyzed according to amplitudes and arrival times of each propagation path. In RAP, the main components of the sound field are direct wave and once-surface-reflected wave except the region from 15km to 30km, where bottom-reflected waves cannot be ignored. In most area of RAP, simulation results show that average correlation coefficients of the vertical line array are always high along the ray path and array gains are very close to the ideal value after proper phase shift. Array gain deduction may occur at some ranges where the interaction between the sound wave and the ocean bottom cannot be ignored. It has great application prospects in target detection for the vertical line array deployed in RAP.

In this paper some new flocking models are introduced. The contact mechanism between agents is from the famous Cooker-Smile model. In these models, the information exchange in the system is fully connected and the agents can adjust their velocities to form a flock. The important innovation of this paper is the flocking agents will automatic slow their velocities to avoid collision when they detects their relatively velocities so quickly and they are too closed with other agents. Using these models, the information interaction between the agents is completely automated which means they do not need human help to finish the flock. We only need to give the initial velocity for each agents they will complete the flocking and not run into each other. Also, we give the final velocity of the system and from the expression it show this velocity is only depended on their agent's initial velocity.

In this paper, our study is motivated by the fact that it is not always clear what the placement of the multiple passive sensors giving the best tracking performance for the underwater targets of interest might be. To account for the issue, posterior Cramér-Rao lower bound (PCRLB) is utilized, which provides a measure of the optimal achievable accuracy of the target state estimation. To derive the recursive Fisher information matrix (FIM) and PCRLB for multisensor multitarget state estimation in an uncertain ocean environment, we address the impact of the uncertain propagation, which is ignored by the previously researches. It is demonstrated that the propagation uncertainty and target tracking results play important roles in the FIM and PCRLB. Moreover, the general framework for integrated target tracking and sensor placement is also proposed.

Golay complementary waveforms are long suffered from dissatisfactory Doppler resolution in target detection. In this paper, we develop a signal processing processor which comparing and pointwise thresholding the radar echo wave of two separate pairs of Golay complementary waveforms. The effectiveness of this pointwise thresholding processor (PTP) in terms of better Doppler resolution than conventional design of Golay complementary waveforms is proved by simulating and analyzing the output Delay-Doppler maps.

The precise knowledge of the statistical properties of clutter plays a key role in radar target detection in foliage environments. Owing to a wealth of multiple scattering, the selection of an appropriate model for diverse foliage environments remains a conundrum. Thus the statistical modeling of the foliage clutter in different environments is focused on in this paper. In particular, the primary contribution is to characterize and parameterize the amplitude of the foliage clutter in three typical foliage environments of different densities, including line-of-sight (LOS) forest environment, non line-of-sight (NLOS) forest-penetration environment, and NLOS bush-penetration environment. Based on the real clutter data acquired with an ultra-high frequency (UHF) ultra-wideband (UWB) ground-based radar, the experimental results show that the specific foliage type and configuration has a significant impact on the distribution of foliage clutter. Furthermore, by means of Kullback-Leibler distance (KLD), log-logistic, G(0) and G distributions with estimated parameters are demonstrated to be the best choice to model the clutter in the LOS forest environment, NLOS forest-penetration environment and NLOS bush-penetration environment, respectively. The proposed models are great advantages on understanding and prediction of the clutter in foliage environments.

In this paper, we investigate the problem of tracking multiple underwater targets when bearing-only measurements from multiple acoustic sensors are available. In this challenging scenario, we exploit the probability data association (PDA) to complete the measurement-target association task and the Cubature Kalman filter to deal with the nonlinear filtering problem encountered in the bearing measurement. Finally, simulation results show that the proposed method works better than the Unscented Kalman filter based counterpart.

In multiple-target tracking problem, data association technique plays an significant role. When targets move closely or crosswise, performances of conventional data association algorithms which use kinematic information only may be degraded. Actually, beside the kinematic information, sensors always can obtain feature information about the target, and incorporating the features into data association problem can improve the performance of data association. In this paper, for underwater target tracking, we propose a ship radiated noise spectrum feature aided probabilistic data association (PDA) algorithm to improve the data association and target tracking performance. Simulations are finally carried out and results show that the proposed method can improve the tracking performance over the conventional PDA algorithm in close-space-targets scenario.

Minimum detectable velocity (MDV) of the target is always regarded as an important parameter in radar system that depends on an acceptable signal-to-interference ratio (SIR) loss. In this paper, we point out an asymptotically equivalent relationship between the generalized likelihood ratio (GLR) and the SIR for orthogonal frequency division multiplexing (OFDM) radar system. This relationship can simplify the post-signal processing procedure of moving target illumination, which makes the MDV could be obtained in parallel when detecting the target without separately calculating the SIR.

In this paper, a compressed sensing based method for beamforming from a single snapshot of an acoustic array is proposed. Firstly, the observation model is presented and then the problem of direction of arrival of acoustic sources estimation is expressed as an optimization problem constrained by signal sparsity. Then a modified orthogonal matching pursuit algorithm is provided to solve this problem. Finally, simulations are carried out to demonstrate the validation of the proposed method.

Orthogonal frequency division multiplexing (OFDM) chirp waveform is a new kind of waveform scheme that combine the OFDM principle with the linear frequency modulation (LFM) waveform. In this paper, the OFDM chirp waveform generation model is improved to the condition with arbitrary numbers of orthogonal basic signals, and the detection performance under the energy detector (ED) of this waveform in clutter environment is also analyzed. The simulation results proved that the OFDM chirp waveform performs better than the traditional OFDM and LFM waveforms in clutter environment.

We examined the reliability of a vegetation clutter model in the time-frequency domain using ultra high frequency (UHF) linear frequency modulation continuous wave (LFMCW) radar. The swaying vegetation is considered as a set of oscillators with a certain distribution density, according to the species of trees, yet with different amplitudes and different periods for various weather conditions. We were aiming to demonstrate that, by setting the parameters in our oscillating model appropriately, we could discover some properties of clutter data measured in a typical grove situated in southern China. The results of our work provide insight for the development of clutter modeling techniques that may be required for foliage penetration (FOPEN) radar.

This paper focuses on the problem of moving human target detection in foliage environment, which is a challenge in a radar system. As a matter of fact, owing to the rough surfaces of trunks, branches, and leaves, there is always a lot of multipath clutter remaining which will severely influence the detection performance. In the study, a method combined with entropy weighted coherent integration (EWCI) and the Hough transform is put forward. The method can effectively suppress not only the stationary clutter but also the multipath clutter. The nonline-of-sight (NLOS) foliage-penetration measurements are set up and the results prove the superiority of our method.

The primary goal of this work is to characterize the impact of weighting selection strategy and multistatic geometry on the multistatic radar performance. With the relationship between the multistatic ambiguity function (AF) and the multistatic Cramér-Rao lower bound (CRLB), the problem of calculating the multistatic AF and the multistatic CRLB as a performance metric for multistatic radar system is studied. Exactly, based on the proper selection of the system parameters, the multistatic radar performance can be significantly improved. The simulation results illustrate that the multistatic AF and the multistatic CRLB can serve as guidelines for future multistatic fusion rule development and multistatic radars deployment.

This paper focuses on the problem of weak moving target detection in dense multipath clutter environment. As a matter of fact, there is always a lot of multipath clutter remaining which will severely influence the detection performance. In the study, a method combined with entropy weighted coherent integration (EWCI) and the Hough transform is put forward. The method can effectively suppress not only the stationary clutter but also the multipath clutter. The simulation results are presented to prove the superiority of our method.

The main emphasis of this paper is placed on the problem of target ranging in multipath clutter environment. In the study, a ranging method with monopulse STLFMCW radar signal is put forward. Based on the joint detection results of the up-chirp and down-chirp, the method can eliminate other ghost targets and reduce early detection phenomena. The simulation result is shown to prove the effectiveness of the new method.