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Bo Zhang
Southeast University, Nanjing, China

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Research article
Published: 08 June 2021 in Journal of the Indian Society of Remote Sensing
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BeiDou navigation satellite system transmits triple-frequency signals. This paper reviews the disadvantages of the traditional least-squares ambiguity decorrelation adjustment algorithm in the ambiguity resolution and exploits the advantages of triple-frequency BDS. A new ambiguity resolution method that is based on adaptive ionosphere estimation constraints for medium-length baselines (from 50 to 100 km) is proposed. We realize the method in two steps. First, double-differencing uncombined observables (B1/B2/B3 observables) are used to obtain float solutions with atmospheric delay estimated as a random walk parameter by using the extended Kalman filter. Second, two ambiguity search equations are constructed between any two uncombined ambiguities. The adaptively estimated ionospheric delay shown in step one is also used to constrain ambiguity search equations. Finally, traversal search of integer ambiguity is performed. The method is decreasingly affected by the cycle slips and reference satellite switching, which can effectively avoid the unstable positioning accuracy of the carrier in the RTK positioning of medium-length baselines. In this study, BDS triple-frequency data collected from two baselines of 53 km and 103 km, respectively, are used to validate the proposed method. Experiments show that the medium-length baseline ambiguity can be rapidly fixed within one single epoch. Although the baseline is over 100 km, the accuracy of coordinate component under dynamic conditions can reach the centimeter level.

ACS Style

Gaochao Yang; Qing Wang; Shiyang Zhou; Bo Zhang; Xin Li. A New AR Method Using BDS Triple-Frequency Observation. Journal of the Indian Society of Remote Sensing 2021, 49, 2199 -2213.

AMA Style

Gaochao Yang, Qing Wang, Shiyang Zhou, Bo Zhang, Xin Li. A New AR Method Using BDS Triple-Frequency Observation. Journal of the Indian Society of Remote Sensing. 2021; 49 (9):2199-2213.

Chicago/Turabian Style

Gaochao Yang; Qing Wang; Shiyang Zhou; Bo Zhang; Xin Li. 2021. "A New AR Method Using BDS Triple-Frequency Observation." Journal of the Indian Society of Remote Sensing 49, no. 9: 2199-2213.

Journal article
Published: 17 March 2021 in Advances in Space Research
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Electron density profiles observed using Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) and Feng-Yun 3C (FY3C) radio occultation (RO) missions from 2014 to 2018 were quality inspected and analysed. After eliminating observations that did not meet the quality requirements, we compared the critical frequency of the F2 layer (foF2) and total electron content (TEC) with data retrieved from ionosondes and global ionospheric maps (GIM). Results showed that the quality of the COSMIC and FY3C RO electron density profiles was higher during the daytime compared to that overnight and was better in summer and autumn compared to spring and winter. Furthermore, the electron density profile qualification rate was higher for FY3C RO than that for COSMIC RO in low latitude regions. The foF2 RO data correlated well with ionosonde data (0.94 and 0.90 for FY3C and COSMIC, respectively). Similarly, TEC RO data correlated well with data from GIM (0.95 and 0.92 for FY3C and COSMIC, respectively). The observation accuracy of the RO data was affected by both solar and geomagnetic activity, and the influence of solar activity was greater than that of geomagnetic activity. During periods of reduced solar and geomagnetic activity, the accuracy of foF2 and TEC retrieved from RO was dependent on the local time, season, and latitude.

ACS Style

Jiujing Xu; Qing Wang; Fuyang Ke; Bo Zhang; Chao Yan; Hao Zhang. Analysis of ionospheric parameters retrieved from Feng-Yun 3C and COSMIC radio occultation. Advances in Space Research 2021, 68, 214 -224.

AMA Style

Jiujing Xu, Qing Wang, Fuyang Ke, Bo Zhang, Chao Yan, Hao Zhang. Analysis of ionospheric parameters retrieved from Feng-Yun 3C and COSMIC radio occultation. Advances in Space Research. 2021; 68 (1):214-224.

Chicago/Turabian Style

Jiujing Xu; Qing Wang; Fuyang Ke; Bo Zhang; Chao Yan; Hao Zhang. 2021. "Analysis of ionospheric parameters retrieved from Feng-Yun 3C and COSMIC radio occultation." Advances in Space Research 68, no. 1: 214-224.

Journal article
Published: 23 November 2020 in Remote Sensing
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The time-series state and parameter estimations of indoor localization continue to be a topic of growing importance. To deal with the nonlinear and positive skewed non-Gaussian dynamic of indoor CSS–TOF (Chirp-Spread-Spectrum Time-of-Flight) ranging measurements and position estimations, Monte Carlo Bayesian smoothers are promising as involving the past, present, and future observations. However, the main problems are how to derive trackable smoothing recursions and to avoid the degeneracy of particle-based smoothed distributions. To incorporate the backward smoothing density propagation with the forward probability recursion efficiently, we propose a lightweight Marginalized Particle Smoother (MPS) for nonlinear and non-Gaussian errors mitigation. The performance of the position prediction, filtering, and smoothing are investigated in real-world experiments carried out with vehicle on-board sensors. Results demonstrate the proposed smoother enables a great tool by reducing temporal and spatial errors of mobile trajectories, with the cost of a few sequence delay and a small number of particles. Therefore, MPS outperforms the filtering and smoothing methods under weak assumptions, low computation, and memory requirements. In the view that the sampled trajectories stay numerically stable, the MPS form is validated to be applicable for time-series position tracking.

ACS Style

Yuan Yang; Manyi Wang; Yunxia Qiao; Bo Zhang; Haoran Yang. Efficient Marginalized Particle Smoother for Indoor CSS–TOF Localization with Non-Gaussian Errors. Remote Sensing 2020, 12, 3838 .

AMA Style

Yuan Yang, Manyi Wang, Yunxia Qiao, Bo Zhang, Haoran Yang. Efficient Marginalized Particle Smoother for Indoor CSS–TOF Localization with Non-Gaussian Errors. Remote Sensing. 2020; 12 (22):3838.

Chicago/Turabian Style

Yuan Yang; Manyi Wang; Yunxia Qiao; Bo Zhang; Haoran Yang. 2020. "Efficient Marginalized Particle Smoother for Indoor CSS–TOF Localization with Non-Gaussian Errors." Remote Sensing 12, no. 22: 3838.

Wireless communications
Published: 01 March 2020 in Electronics Letters
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In the context of sequential estimation of radio range-based indoor position tracking, Bayesian smoothing framework is promising as involving past, present and future observations. The performance and practicability of a smoothing method greatly depend on how many and how future observations are incorporated. Aiming at real-time locating systems, the authors propose one time-step smoothing form on sequential Monte Carlo methods, including four popular Bayesian smoothers and a novel one time-step smoothed filtering (SF) algorithm. The smoothing algorithms are evaluated through two-dimensional position tracking on a real-world indoor test-bed. The authors present results that the proposed SF improves tracking performance requiring very limited computation and memory, which is applicable for real-time indoor position tracking. Moreover, the one time-step smoothing form is validated to mitigate ranging errors and smooth positioning trajectories.

ACS Style

Yuan Yang; Huaming Wu; Peng Dai; Bo Zhang. One time‐step particle smoothing for radio range‐based indoor position tracking. Electronics Letters 2020, 56, 360 -362.

AMA Style

Yuan Yang, Huaming Wu, Peng Dai, Bo Zhang. One time‐step particle smoothing for radio range‐based indoor position tracking. Electronics Letters. 2020; 56 (7):360-362.

Chicago/Turabian Style

Yuan Yang; Huaming Wu; Peng Dai; Bo Zhang. 2020. "One time‐step particle smoothing for radio range‐based indoor position tracking." Electronics Letters 56, no. 7: 360-362.

Journal article
Published: 20 December 2019 in IEEE Access
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The global positioning system real-time kinematic (GPS-RTK) instrument is a commonly used instrument to obtain GPS coordinates in cadastral surveying, but its use is limited to unshielded environments. This study proposes a new method based on a visual simultaneous localization and mapping (SLAM) algorithm that uses a stereo-camera to replace traditional methods. The benefits of our method are a higher measurement efficiency, fewer required professionals, and fewer restrictions on the operating environment compared with the traditional RTK and total station method. First, we propose a robust non-planar camera calibration algorithm that uses three non-planar chessboards to obtain intrinsic parameters of a stereo-camera to improve the accuracy of the measurement. Second, we propose a detailed algorithm that uses a stereo-camera and known GPS coordinates to obtain unknown GPS coordinates. Using experiments, we demonstrated the effectiveness and stability of our method to provide accurate GPS coordinates.

ACS Style

Youyang Feng; Qing Wang; Bo Zhang. Boundary Point Measurement Using Visual Technique. IEEE Access 2019, 8, 18754 -18763.

AMA Style

Youyang Feng, Qing Wang, Bo Zhang. Boundary Point Measurement Using Visual Technique. IEEE Access. 2019; 8 (99):18754-18763.

Chicago/Turabian Style

Youyang Feng; Qing Wang; Bo Zhang. 2019. "Boundary Point Measurement Using Visual Technique." IEEE Access 8, no. 99: 18754-18763.

Journal article
Published: 24 October 2017 in Future Internet
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In this paper, we propose a consensus algorithm with input constraints for traffic light signals in transit signal priority (TSP). TSP ensures control strategy of traffic light signals can be adjusted and applied according to the real-time traffic status, and provides priority for buses. We give the convergence conditions of the consensus algorithms with and without input constraints in TSP respectively and analyze the convergence performance of them by using matrix theory and graph theory, and PTV-VISSIM is used to simulate the traffic accident probability of three cases at intersections. Simulation results are presented that a consensus is asymptotically reached for all weights of priority; the algorithm with input constraints is more suitable for TSP than the algorithm without input constraints, and the traffic accident rate is reduced.

ACS Style

Dongyuan Li; Chengshuai Li; Zidong Wang; Deqiang Wang; Jianping Xing; Bo Zhang. Signal Consensus in TSP of the Same Grid in Road Network. Future Internet 2017, 9, 69 .

AMA Style

Dongyuan Li, Chengshuai Li, Zidong Wang, Deqiang Wang, Jianping Xing, Bo Zhang. Signal Consensus in TSP of the Same Grid in Road Network. Future Internet. 2017; 9 (4):69.

Chicago/Turabian Style

Dongyuan Li; Chengshuai Li; Zidong Wang; Deqiang Wang; Jianping Xing; Bo Zhang. 2017. "Signal Consensus in TSP of the Same Grid in Road Network." Future Internet 9, no. 4: 69.

Conference paper
Published: 01 September 2017 in 2017 International Smart Cities Conference (ISC2)
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Taxi has become an important component of public transportation system. A proper cabstand location can alleviate the traffic pressure. In this paper, a large set of global positioning system (GPS) data of taxi in Jinan City is employed to help locating the cabstand. By analyzing more than 300 million taxi driving data in Jinan, Shandong Province, the parallel K- means algorithm is applied on the cluster analysis based on Spark distributed computing framework. Based on the clustering results, the characteristics of taxi passengers are revealed. and the traffic hot spot map of taxi operation is generated according to visualized data results, which provides technical support for the selection of cabstand location. Although the results and conclusion are specific to Jinan City, the methods and models used in this paper can be employed on other cities as well.

ACS Style

Tianjia He; Wei Gui; Bo Zhang; Ke Lu. A GPS data based distributed K-means for cabstand location selection. 2017 International Smart Cities Conference (ISC2) 2017, 1 -2.

AMA Style

Tianjia He, Wei Gui, Bo Zhang, Ke Lu. A GPS data based distributed K-means for cabstand location selection. 2017 International Smart Cities Conference (ISC2). 2017; ():1-2.

Chicago/Turabian Style

Tianjia He; Wei Gui; Bo Zhang; Ke Lu. 2017. "A GPS data based distributed K-means for cabstand location selection." 2017 International Smart Cities Conference (ISC2) , no. : 1-2.

Conference paper
Published: 01 September 2017 in 2017 International Smart Cities Conference (ISC2)
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With the urban transport system has been unable to keep up with the rapid growth of travel needs, many urban traffic network run in a state beyond the ability. Traffic congestion has seriously affected the normal operation of the bus. The urban bus signal priority technology can make full use of the existing transport infrastructure, integration of people travel mode, effective mitigation of urban traffic congestion. This paper mainly studies the priority theory of bus signals based on SCOOT, including the principle and method of bus priority, and optimizes the SCOOT bus priority strategy, which provides the implementation measures for the city to implement the bus priority system.

ACS Style

Bo Zhang; Qing Wang; Fen Liu; Lu Kang. Bus signal priority based on SCOOT. 2017 International Smart Cities Conference (ISC2) 2017, 1 -4.

AMA Style

Bo Zhang, Qing Wang, Fen Liu, Lu Kang. Bus signal priority based on SCOOT. 2017 International Smart Cities Conference (ISC2). 2017; ():1-4.

Chicago/Turabian Style

Bo Zhang; Qing Wang; Fen Liu; Lu Kang. 2017. "Bus signal priority based on SCOOT." 2017 International Smart Cities Conference (ISC2) , no. : 1-4.