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| 1 | Optimal 3D deformation measuring in inclined geosynchronous orbit SAR differential interferometry显示文摘Three dimensional(3D) deformation can be obtained by using differential interferometric synthetic aperture radar(D-In SAR) technique with the cross-heading tracks data of low earth orbit(LEO) SAR. However,this method has drawbacks of the low temporal sampling rate and the limited area and accuracy for 3D deformation retrieval. To address the aforementioned problems, by virtue of a geosynchronous(GEO) SAR platform,this paper firstly demonstrates the expressions of 3D deformation and the corresponding errors in GEO SAR multi-angle processing. An optimal multi-angle data selection method based on minimizing position dilution of precision(PDOP) is proposed to obtain a good 3D deformation retrieval accuracy. Moreover, neural network is utilized for analyzing the accuracy of the retrieved 3D deformation under different orbit configurations and geo-locations. Finally, the proposed methods and the theoretical analysis are verified by simulation experiments.A 3D deformation retrieval accuracy of the order of centimeter-level or even millimeter-level can be obtained by using the selected optimal multi-angle data. | Cheng HU Yuanhao LI Xichao DONG Rui WANG Chang CUI | 2017 | Science China(Information Sciences)2017，60，6： | 8 |
| 2 | DropConnect Regularization Method with Sparsity Constraint for Neural Networks显示文摘Drop Connect is a recently introduced algorithm to prevent the co-adaptation of feature detectors.Compared to Dropout, Drop Connect gains state-of-the-art results on several image recognition benchmarks. Motivated by the success of Drop Connect, we extended this algorithm with the ability of sparse feature selection. In Drop Connect algorithm, the dropping masks of weights are generated using Bernoulli gating variables that are independent of the weights and activations. We introduce a new strategy to generate masks depending on the outputs of previous layer. Using this method, neurons which are promising to produce sparser features will be assigned a bigger possibility to keep active in the forward and backward propagations. We then evaluate such sparsity constrained Drop Connect on MNIST and CIFAR datasets in comparison with ordinary Drop Connect and Dropout method. The results show that our new method improves the sparsity of features significantly, while not degrading the precision. | LIAN Zifeng JING Xiaojun WANG Xiaohan HUANG Hai TAN Youheng CUI Yuanhao | 2016 | Chinese Journal of Electronics2016，25，1： | 6 |
| 3 | New Delay Doppler Communication Paradigm in 6G Era:A Survey of Orthogonal Time Frequency Space(OTFS)显示文摘In the 6G era,Space-Air-Ground Integrated Network(SAGIN)are anticipated to deliver global coverage,necessitating support for a diverse array of emerging applications in high-mobility,hostile environments.Under such conditions,conventional orthogonal frequency division multiplexing(OFDM)modulation,widely employed in cellular and Wi-Fi communication systems,experiences performance degradation due to significant Doppler shifts.To overcome this obstacle,a novel twodimensional(2D)modulation approach,namely orthogonal time frequency space(OTFS),has emerged as a key enabler for future high-mobility use cases.Distinctively,OTFS modulates information within the delay-Doppler(DD)domain,as opposed to the timefrequency(TF)domain utilized by OFDM.This offers advantages such as Doppler and delay resilience,reduced signaling latency,a lower peak-to-average ratio(PAPR),and a reduced-complexity implementation.Recent studies further indicate that the direct interplay between information and the physical world in the DD domain positions OTFS as a promising waveform for achieving integrated sensing and communications(ISAC).In this article,we present an in-depth review of OTFS technology in the context of the 6G era,encompassing fundamentals,recent advancements,and future directions.Our objective is to provide a helpful resource for researchers engaged in the field of OTFS. | Weijie Yuan Shuangyang Li Zhiqiang Wei Yuanhao Cui Jiamo Jiang Haijun Zhang Pingzhi Fan | 2023 | China Communications2023，20，6： | 2 |
| 4 | Mutual Information Maximization via Joint Power Allocation in Integrated Sensing and Communications System显示文摘In this paper, we focus on the power allocation of Integrated Sensing and Communication(ISAC) with orthogonal frequency division multiplexing(OFDM) waveform. In order to improve the spectrum utilization efficiency in ISAC, we propose a design scheme based on spectrum sharing, that is,to maximize the mutual information(MI) of radar sensing while ensuring certain communication rate and transmission power constraints. In the proposed scheme, three cases are considered for the scattering off the target due to the communication signals,as negligible signal, beneficial signal, and interference signal to radar sensing, respectively, thus requiring three power allocation schemes. However,the corresponding power allocation schemes are nonconvex and their closed-form solutions are unavailable as a consequence. Motivated by this, alternating optimization(AO), sequence convex programming(SCP) and Lagrange multiplier are individually combined for three suboptimal solutions corresponding with three power allocation schemes. By combining the three algorithms, we transform the non-convex problem which is difficult to deal with into a convex problem which is easy to solve and obtain the suboptimal solution of the corresponding optimization problem. Numerical results show that, compared with the allocation results of the existing algorithms, the proposed joint design algorithm significantly improves the radar performance. | Jia Zhu Junsheng Mu Yuanhao Cui Xiaojun Jing | 2024 | China Communications2024，21，2： | 0 |
| 5 | A Brief Introduction on Joint Radar and Communication Systems显示文摘Joint radar and communication(JRC)technology is gradually becoming an essential approach to alleviating spectral congestion.Radar and communications systems were designed with common spectral and hardware resources to reduce size,improve performance,reduce cost,and decongest the spectrum.Various approaches have been proposed to achieve the coexistence of radar and communication systems.This paper mainly focuses on the research directions of radar communication coexistence(RCC)and dual-function radar communication systems(DFRC)in JRC technology.We summarize and analyze the existing research problems in the JRC era.According to the characteristics and advantages of JRC technology,we highlight several potentials in military and commercial applications. | Jia Zhu Fangpei Zhang Yuanhao Cui Junsheng Mu Ronghui Zhang Xiaojun Jing | 2021 | Journal of Beijing Institute of Technology2021，30，1： | 0 |
| 6 | Wedding Science and Art显示文摘When science,the presentation of facts,weds fictional filmmaking,the art of humanism,their child is a real and fascinating future society. | Cui Yuanhao Wang Yuanzhuo | 2023 | China Pictorial2023，，2： | 0 |
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