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| 1 | Data fusion of target characteristic in multistatic passive radar显示文摘Radar cross section(RCS)is an important attribute of radar targets and has been widely used in automatic target recognition(ATR).In a passive radar,only the RCS multiplied by a coefficient is available due to the unknown transmitting parameters.For different transmitter-receiver(bistatic)pairs,the coefficients are different.Thus,the recovered RCS in different transmitter-receiver(bistatic)pairs cannot be fused for further use.In this paper,we propose a quantity named quasi-echo-power(QEP)as well as a method for eliminating differences of this quantity among different transmitter-receiver(bistatic)pairs.The QEP is defined as the target echo power after being compensated for distance and pattern propagation factor.The proposed method estimates the station difference coefficients(SDCs)of transmitter-receiver(bistatic)pairs relative to the reference transmitter-receiver(bistatic)pair first.Then,it compensates the QEP and gets the compensated QEP.The compensated QEP possesses a linear relationship with the target RCS.Statistical analyses on the simulated and real-life QEP data show that the proposed method can effectively estimate the SDC between different stations,and the compensated QEP from different receiving stations has the same distribution characteristics for the same target. | CAO Xiaomao YI Jianxin GONG Ziping RAO Yunhua WAN Xianrong | 2021 | Journal of Systems Engineering and Electronics2021，32，4： | 2 |
| 2 | Spatial differ-ence smoothing for coherent sources location in MIMO radar显示文摘 | HONG Sheng WAN Xianrong KE Hengyu | 2015 | Signal processing2015，109，： | 1 |
| 3 | An experimental study of HF passive bistatic radar via hybrid sky-surface wave mode显示文摘 | ZHAO Zhixin WAN Xianrong ZHANG Delei | 2013 | IEEE Trarisac-tions on antennas and propagation2013，61，1： | 1 |
| 4 | High-accuracy target tracking for multistatic passive radar based on a deep feedforward neural network显示文摘In radar systems,target tracking errors are mainly from motion models and nonlinear measurements.When we evaluate a tracking algorithm,its tracking accuracy is the main criterion.To improve the tracking accuracy,in this paper we formulate the tracking problem into a regression model from measurements to target states.A tracking algorithm based on a modified deep feedforward neural network(MDFNN)is then proposed.In MDFNN,a filter layer is introduced to describe the temporal sequence relationship of the input measurement sequence,and the optimal measurement sequence size is analyzed.Simulations and field experimental data of the passive radar show that the accuracy of the proposed algorithm is better than those of extended Kalman filter(EKF),unscented Kalman filter(UKF),and recurrent neural network(RNN)based tracking methods under the considered scenarios. | Baoxiong XU Jianxin YI Feng CHENG Ziping GONG Xianrong WAN | 2023 | Frontiers of Information Technology & Electronic Engineering2023，24，8： | 1 |
| 5 | Target detection with high frequency surface wave radar in co-channel interference显示文摘 | Wan Xianrong Zhang Sifeng Ke Hengyu | 2005 | IEE Proc Radar Sonar Navig2005，152，2： | 1 |
| 6 | Experimental research of CMMB-based passive radar under multipath environment显示文摘 | WAN Xianrong YI Jianxin ZHAO Zhixin | 2014 | IEEE Trans Aerosp Electron Syst2014，50，1： | 1 |
| 7 | An experimental study of HF passive bistatic radar via hybrid sky-surface wave mode显示文摘 | ZHAO Zhixin WAN Xianrong ZHANG Delei e1 al | 2013 | IEEE Trans Antennas Propag2013，61，1： | 1 |
| 8 | Adaptive Cochannel Interference Suppression Based on Subarrays for HFSWR显示文摘 | Wan Xianrong Ke Hengyu Wen Biyang | 2005 | IEEE Signal Processing Letters2005，12，2： | 1 |
| 9 | Spatialdifference smoothing for coherent sources location inMIMO radar 显示文摘 | HONG Sheng WAN Xianrong KE Hengyu | 2015 | Signal Processing2015，109，： | 1 |
| 10 | Automatic target recognition combining angular diversity and time diversity for multistatic passive radar显示文摘Dear editor, The radar cross section-based (RCS-based) method is an important research direction in the field of automatic target recognition (ATR) of passive radars [1–5]. Due to the unknown transmitting parameters in the passive radar, it is impossible to extract the true target RCS from the echo power. As a result of this, researchers use a biased RCS which has an unknown parameter to realize the RCS-based ATR in passive radar [1, 2]. | Xiaomao CAO Jianxin YI Ziping GONG Xianrong WAN | 2022 | Science China(Information Sciences)2022，65，7： | 1 |
| 11 | Computationally efficient RF interference suppression method with closed-form maximum likelihood estimator for HF surface wave over-the-horizon radars显示文摘 | YI Jianxin WAN Xianrong CHENG Feng | 2013 | IEEE Transactions on Geoscience and Remote Sensing2013，51，4： | 1 |
| 12 | Coarse-fine joint target parameter estimation method based on AN-RSC in OFDM passive radar显示文摘In this paper,we study the accuracy of delay-Doppler parameter estimation of targets in a passive radar using orthogonal frequency division multiplexing(OFDM)signal.A coarse-fine joint estimation method is proposed to achieve better estimation accuracy of target parameters without excessive computational burden.Firstly,the modulation symbol domain(MSD)method is used to roughly estimate the delay and Doppler of targets.Then,to obtain high-precision Doppler estimation,the atomic norm(AN)based on the multiple measurement vectors(MMV)model(MMV-AN)is used to manifest the signal sparsity in the continuous Doppler domain.At the same time,a reference signal compensation(RSC)method is presented to obtain highprecision delay estimation.Simulation results based on the OFDM signal show that the coarse-fine joint estimation method based on AN-RSC can obtain a more accurate estimation of target parameters compared with other algorithms.In addition,the proposed method also possesses computational advantages compared with the joint parameter estimation. | WANG Chujun WAN Xianrong YI Jianxin CHENG Feng | 2024 | Journal of Systems Engineering and Electronics2024，35，2： | 0 |
| 13 | A robust symbol timing strategy for cellular systems显示文摘In cellular systems,establishing the initial symbol timing of potential preambles is the first step of a cell search.The envelope fluctuation of the downlink signal hinders the successful timing of conventional symbol timing methods.To solve this problem,a hybrid timing strategy is proposed with two novel detectors,namely the normalized replica-based detector and normalized differential detector.The strategy first detects all potential preambles via the normalized replica-based detector and then employs the normalized differential detector to verify the target preamble,which comes from the target cell and has the highest power.The strategy is unaffected by envelope fluctuation and has computational complexity comparable to that of conventional methods.Simu-lations and real-data tests show that the hybrid timing strategy is robust and practical for initial symbol timing. | Yangpeng Dan Jianxin Yi Xianrong Wan Yunhua Rao Yan Liu | 2023 | Digital Communications and Networks2023，9，3： | 0 |
| 14 | Discussion on the Main Reasons for a Large Number of Père David s Deer ( Elaphurus davidianus ) with Abnormal Antler Shedding显示文摘[Objectives]This study was conducted to find out the causes of abnormal antler shedding in Père David s deer(Elaphurus davidianus).[Methods]Abnormally-shed antlers were compared with normally-shed antlers in terms of light condition,antler development and bone nutritional status during the abnormal shedding season in the growth area of Père David s deer.[Results]Abnormally-shed antlers had no significant differences in the development of shed antlers,or even in the overall composition of antlers,from those of normal Père David s deer.[Conclusions]Insufficient light was the main cause of abnormal antler shedding in Père David s deer. | Jinmei XIANG Miaomiao ZHANG Wenqin CHEN Kai YANG Wenxi WANG Xianrong SONG Nini GUO Chunyun WAN | 2023 | Agricultural Biotechnology2023，12，5： | 0 |
| 15 | Range-Angle Dependent Beampattern Synthesis Method for OFDM-Based Passive Radar显示文摘Frequency diverse array(FDA)radar applies a tiny frequency offset across its adjacent transmitting array elements to generate a range-angle-dependent beampattern.The increased degrees-of-freedom(DOFs)in range domain can help improve the performance of radar in target detection,localization,and clutter suppression.Passive radar utilizes uncontrollable external signal as illuminator,which makes it difficult to apply traditional frequency diverse process method.However,the third-party illuminator such as Orthogonal Frequency Division Multiplexing(OFDM)signal usually consists of several closely spaced modulated carriers,and it has been widely selected as the illuminator for passive radar in recent years.Considering the orthogonality between even separated subcarriers,we propose a new frequency diverse process method by extracting and processing each subcarrier of received data independently and attempt to provide a range-angle dependent beampattern for OFDM passive radar.Numerical results and real data analyses verify the superiority of frequency diversity process on the received data of OFDM passive radar. | RAO Yunhua HE Hao WAN Xianrong YI Jianxin | 2022 | Wuhan University Journal of Natural Sciences2022，27，3： | 0 |
| 16 | DOA estimation based on multi-frequency joint sparse Bayesian learning for passive radar显示文摘This paper considers multi-frequency passive radar and develops a multi-frequency joint direction of arrival(DOA)estimation algorithm to improve estimation accuracy and resolution.The developed algorithm exploits the sparsity of targets in the spatial domain.Specifically,we first extract the required frequency channel data and acquire the snapshot data through a series of preprocessing such as clutter suppression,coherent integration,beamforming,and constant false alarm rate(CFAR)detection.Then,based on the framework of sparse Bayesian learning,the target’s DOA is estimated by jointly extracting the multi-frequency data via evidence maximization.Simulation results show that the developed algorithm has better estimation accuracy and resolution than other existing multi-frequency DOA estimation algorithms,especially under the scenarios of low signalto-noise ratio(SNR)and small snapshots.Furthermore,the effectiveness is verified by the field experimental data of a multi-frequency FM-based passive radar. | WEN Jinfang YI Jianxin WAN Xianrong GONG Ziping SHEN Ji | 2022 | Journal of Systems Engineering and Electronics2022，33，5： | 0 |
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