Benjian Hao

Chengdu University of Information Technology

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Zan Li

Xidian University

Yue Zhao

Xidian University

Jiangbo Si

Xidian University

Pengwu Wan

Xi’an University of Posts and Telecommunications

Lei Guan

Xidian University

Peihan Qi

Xidian University

Nan Cheng

Xidian University

Jia Shi

Ruijin Hospital

Fuhui Zhou

Nanjing University of Aeronautics and Astronautics

Xuemin Shen

University of Waterloo

Cooperative Institutions

Xidian University

Chinese Academy of Sciences

Southeast University

Beijing University of Posts and Telecommunications

Xi’an University of Posts and Telecommunications

University of Chinese Academy of Sciences

Beihang University

Shanghai Jiao Tong University

Huazhong University of Science and Technology

Tianjin University

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A Novel Method for VHF Signal Modulation Classification Based on Algorithm of First-Order Cyclic Moment

Advances in computer science research (2015)

Faquan Yang Zhibin Luo Zhongshu Li Benjian Hao

In view of the problem of modulation recognition algorithm existing about low recognition rate under environment condition of low SNR, the algorithm of first-order cyclic moment are first presented used in band signal of VHF modulation classification recognition in this paper and the recognition rate increased significantly.The first-order cycle frequencies at which estimated first-order cyclic moment magnitudes exceed the cutoff value were selected as candidate cycle frequencies based on estimation first-order cyclic moment at first-order cycle frequency series, then decided to choose the number of candidate cycle frequency by a cyclostationarity test to realize signal modulation classification recognition, the classification recognition rate can reach more than 98% under condition of SNR is greater than -6 dB.

Modulation (music)

SIGNAL (programming language)

10.2991/cisia-15.2015.14

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Citations (0)

Discrete Monotonic Optimization Based Sensor Selection for TDOA Localization

2015 IEEE Global Communications Conference (GLOBECOM) (2019)

Yue Zhao Jia Shi Zan Li Benjian Hao Xuan Xue

This paper investigates the sensor selection problem for time difference of arrival (TDOA) localization in wireless sensor networks. Specifically, a multi-objective optimization problem is formulated in which a Boolean vector is involved to find the best tradeoff between the localization accuracy and the energy consumption. The ε- constraints method is introduced to convert the original multi- objective optimization problem to a tractable single-objective problem. To solve the converted sensor selection problem, we propose the polyblock outer approximation (POA) algorithm based on discrete monotonic optimization (DMO) in order to find the global optimal solution, which however can not be obtained by the traditional semidefinite relaxation (SDR) approach. Further, for the sake of practical implementation, we propose another two suboptimal algorithms, namely, POA-based accelerated cutting (POA-AC) algorithm and POA-based monotonic cutting (POA-MC) algorithm. Simulation results validate that the localization accuracy for sensors selected by the POA-AC algorithm and POA-MC algorithm is greater than the semidefinite relaxation (SDR) solution and achieves the same results as that by the exhaustive search method.

10.1109/globecom38437.2019.9013936

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Citations (2)

Effective bias reduction methods for passive source localization using TDOA and GROA

Science China Information Sciences (2013)

Benjian Hao Zan Li Peihan Qi Lei Guan

Cramér–Rao bound

FDOA

10.1007/s11432-013-4896-4

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Citations (10)

Passive Radar Source Localization Based on PSAAA Using Single Small Size Aircraft

2022 IEEE Globecom Workshops (GC Wkshps) (2015)

Benjian Hao Jianfeng Zhu Zan Li Song Xiao Lang Tong

This paper considers the problem of how to accurately and passively localise the hostile radar position based on only one small size aircraft. Inspired by Synthetic Aperture Sonar (SAS), Synthetic Aperture Radar (SAR) and multi-static passive radar, a similar concept of Passive Synthetic Aperture Antenna Array (PSAAA) is introduced into this paper. The same single receiver carried by one small aircraft is virtually taken as PSAAA element at different flight track positions at multiple different moments. Taking full advantages of aircraft space movement and radar antenna circular rotation, it is proposed an effective method to estimate the Virtual Time Differences of Arrival (VTDOAs). The VTDOAs are the passive localization information defined as the time differences of the radar pulse transmission from the radar position to different virtual receivers. Based on the VTDOAs estimation, we propose a construction method for the binary quadratic localization equation group, and then a closed-form solution algorithm is given for passive radar position estimation. Simulations corroborate the performance of the proposed methods.

Radar lock-on

Fire-control radar

Passive Radar

Position (finance)

3D radar

10.1109/glocomw.2015.7413956

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Citations (4)

Maximum-Eigenvalue-Based Sensing and Power Recognition for Multiantenna Cognitive Radio System

IEEE Transactions on Vehicular Technology (2015)

Zan Li Danyang Wang Peihan Qi Benjian Hao

Spectrum sensing, as a way for a secondary user (SU) to detect the on/off status of the primary user (PU), has been well studied in the area of cognitive radio (CR) for the past ten years. It is noticed that most exiting techniques only assumed that the PU has constant transmit power, although in practice, the PU could possibly operate under more than one discrete power levels, as can be seen from many practical standards, e.g., 802.11, Global System for Mobile Communications, and Long-Term Evolution. In this paper, we investigate this new multiple primary transmit power (MPTP) scenario and propose the corresponding detection/recognition framework based on multiple-antenna configuration at the SU. Although the primary target in MPTP is still to detect the on/off status of the PU, a secondary target appears in order to identify PU's transmit power level once the PU is "detected" in the first place. To achieve these two targets, an eigenvalue-based approach is applied due to its robustness and least requirement on the knowledge of channels. To obtain the closed-form threshold expressions and the performance analysis, we adopt nonasymptotic Gaussian and Gamma approximation for the distribution of the eigenvalues of the sample covariance matrix. Simulation results are provided to verify the proposed studies.

10.1109/tvt.2015.2511783

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Citations (39)

BFGS quasi-Newton location algorithm using TDOAs and GROAs

Journal of Systems Engineering and Electronics (2013)

Benjian Hao Zan Li

With the emergence of location-based applications in various fields, the higher accuracy of positioning is demanded. By utilizing the time differences of arrival (TDOAs) and gain ratios of arrival (GROAs), an efficient algorithm for estimating the position is proposed, which exploits the Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-Newton method to solve nonlinear equations at the source location under the additive measurement error. Although the accuracy of two-step weighted-least-square (WLS) method based on TDOAs and GROAs is very high, this method has a high computational complexity. While the proposed approach can achieve the same accuracy and bias with the lower computational complexity when the signal-to-noise ratio (SNR) is high, especially it can achieve better accuracy and smaller bias at a lower SNR. The proposed algorithm can be applied to the actual environment due to its real-time property and good robust performance. Simulation results show that with a good initial guess to begin with, the proposed estimator converges to the true solution and achieves the Cramer-Rao lower bound (CRLB) accuracy for both near-field and far-field sources.

Broyden–Fletcher–Goldfarb–Shanno algorithm

Cramér–Rao bound

Position (finance)

10.1109/jsee.2013.00043

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Citations (9)

Performance analysis of cognitive relay networks under both average and peak interference power constraints

2022 IEEE/CIC International Conference on Communications in China (ICCC) (2013)

Haiyan Huang Jiangbo Si Zan Li Benjian Hao Lei Pan

In this paper, to guarantee the reliable communications of the primary user (PU), we impose a joint constraints on both average and peak interference power. With multiple relays available, the performance for proactive decode-and-forward (DF) relaying is investigated in underlay cognitive relay networks. Particularly, considering the correlation among the received signal to noise ratios (SNRs), exact closed form expressions for the outage probability and ergodic capacity of the secondary user (SU) are derived over Rayleigh fading channels. It is shown that, due to the common links between the SU source and the PU receiver, the performance of the SU is degraded. Finally, simulation results are presented to validate our analytical analysis.

Underlay

Outage Probability

Co-channel interference

10.1109/iccchina.2013.6671132

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Citations (2)

Accurate Estimation the Scanning Cycle of the Reconnaissance Radar Based on a Single Unmanned Aerial Vehicle

IEEE Access (2017)

Pengwu Wan Benjian Hao Zan Li Xiao Ma Yue Zhao

In modern warfare, as a long distance detection equipment, a reconnaissance radar is crucial to monitor the sensitive regions and the intelligence of airborne targets. It is important for the opponent to identify the tactical information about the enemy's reconnaissance radar. It has a great influence on the war. Scanning cycle of the monitoring radar is an important parameter for the counterreconnaissance of the hostile radar source in the electronic countermeasure. Since the pulse Doppler (PD) radar is one of the most widely used type in modern reconnaissance radar domains, this paper focuses on scanning cycle estimation of the reconnaissance radar (PD radar) using a single unmanned aerial vehicle (UAV). We propose an effective method to reconstruct the main-beam pattern (MBP) curve of the radar antenna based on the norm approximation algorithm, and then the reconstructed MBP curve of the radar antenna is exploited to estimate the scanning cycle of the reconnaissance radar. By hovering the UAV at the same place, the scanning cycle of the reconnaissance radar can be estimated according to the reconstructed MBP curve. In the simulation section, we check the validity and robustness of the proposed method through the performance comparison with the Cramer-Rao lower bound.

Radar lock-on

Fire-control radar

Robustness

3D radar

Radar cross-section

10.1109/access.2017.2762742

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Citations (19)

On the Cramer-Rao bound of multiple sources localization using RDOAs and GROAs in the presence of sensor location uncertainties

2022 IEEE Wireless Communications and Networking Conference (WCNC) (2012)

Benjian Hao Zan Li Yunmei Ren Weiyi Yin

Passive source localization has been the focus of considerable research efforts due to its usefulness in various applications. This paper performs a fundamental investigation of whether the gain ratios of arrival (GROAs) can be utilized in conjunction with the range differences of arrival (RDOAs) to improve the multiple sources localization accuracy in the presence of sensor location uncertainties. In this paper, we derive the Cramer-Rao lower bound (CRLB) of multiple source location estimate using both RDOAs and GROAs when sensor positions have errors. Simulations show that the localization accuracy improvements contributed by GROA measurements are significant for two far-field sources, two near-field sources and two enclosed sources as the SNR, jamming signal bandwidth factor C/ω _o or sensor position error power σ _s ² increases. The CRLB will provide reasonable reference for localization algorithm research in the future.

Cramér–Rao bound

Position (finance)

10.1109/wcnc.2012.6214341

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Citations (13)

Sensor Selection for TDOA-Based Localization in Wireless Sensor Networks With Non-Line-of-Sight Condition

IEEE Transactions on Vehicular Technology (2019)

Yue Zhao Zan Li Benjian Hao Jia Shi

This paper investigates the selection of a subset of sensors for time difference of arrival (TDOA) localization under the non-line-of-sight (NLOS) condition in wireless sensor networks (WSN). Specifically, we aim to optimize the sensor activation for the sake of minimizing the localization error when considering NLOS condition subject to energy constraints. In contrast to existing sensor selection strategies, two independent Boolean selection vectors are utilized to determine the reference sensor and other sensors simultaneously in TDOA localization. Upon presenting expressions of the Cramer-Rao lower bound (CRLB) under three different scenarios, including: 1) line-of-sight (LOS), 2) Prior statistics unknown NLOS (PSU-NLOS), 3) Prior statistics known NLOS (PSK-NLOS), the optimization problems for sensor selection are formulated to minimize the CRLB based on two independent Boolean selection vectors. Analytical scheme is developed by solving the tractable semidefinite program (SDP) problems which are converted from the original nonconvex problem. Furthermore, two low-complexity heuristic algorithms, namely best option filling (BOF) algorithm and iterative swapping greedy (ISG) algorithm, are proposed for the sake of practical implementation. Simulation results validate that the localization accuracy for sensors selected by the SDP with randomization algorithm and the ISG algorithm achieves the exhaustive search method. Additionally, these two algorithms are stable under several random sensor network geometries.

Non-line-of-sight propagation

Cramér–Rao bound

10.1109/tvt.2019.2936110

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Citations (75)