4篇
您的检索式：作者名="HE Zhangming"
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| 1 | Optimal Weight and Parameter Estimation of Multi-structure and Unequal-Precision Data Fusion显示文摘Measured data fusion process is an effective way to improve the data process precision. In this paper,the fusion weight is firstly introduced, and then we study the optimal weight and parameter estimation using multistructure and unequal-precision data fusion. For the linear regression model, it is theoretically proved that the optimal weight is only related to the data measure precision,which is consistent with the classical Gauss-Markov theorem. For the nonlinear regression model, we analyze the method for calculating the optimal weight theoretically,and then provide the algorithm for the optimal weight and the parameter estimation for the actual data fusion. | WANG Jiongqi HE Zhangming ZHOU Haiyin LI Shuxing ZHOU Xuanying | 2017 | Chinese Journal of Electronics2017，26，6： | 2 |
| 2 | Integrated Design and Accuracy Analysis of Star Sensor and Gyro on the Same Benchmark for Satellite Attitude Determination System显示文摘As an important sensor in the navigation systems,star sensors and the gyro play important roles in spacecraft attitude determination system.Complex environmental factors are the main sources of error in attitude determination.The error influence of different benchmarks and the disintegration mode between the star sensor and the gyro is analyzed in theory.The integrated design of the star sensor and the gyro on the same benchmark can effectively avoid the error influence and improves the spacecraft attitude determination accuracy.Simulation results indicate that when the stars sensor optical axis vectors overlap the reference coordinate axis of the gyro in the same benchmark,the attitude determination accuracy improves. | Bowen Hou Zhangming He Haiyin Zhou Jiongqi Wang | 2019 | IEEE/CAA Journal of Automatica Sinica2019，6，4： | 1 |
| 3 | RamanScat tering Study on Anatase TiO2 Nanocrystals 显示文摘 | ZhangWF He YL ZhangMS etal | 2000 | Jour nal of Physics D: Applied Physics2000，33，： | 1 |
| 4 | TOA positioning algorithm of LBL system for underwater target based on PSO显示文摘For the underwater long baseline(LBL)positioning systems,the traditional distance intersection algorithm simplifies the sound speed to a constant,and calculates the underwa-ter target position parameters with a nonlinear iteration.However,due to the complex underwater environment,the sound speed changes with time and space,and then the acoustic propagation path is actually a curve,which inevitably causes some errors to the traditional distance intersection positioning algorithm.To reduce the position error caused by the uncertain underwater sound speed,a new time of arrival(TOA)intersection underwater positioning algorithm of LBL system is proposed.Firstly,combined with the vertical layered model of the underwater sound speed,an implicit positioning model of TOA intersection is constructed through the constant gradient acoustic ray tracing.And then an optimization function based on the overall TOA residual square sum is advanced to solve the position parameters for the underwater target.Moreover,the particle swarm optimization(PSO)algorithm is replaced with the tra-ditional nonlinear least square method to optimize the implicit positioning model of TOA intersection.Compared with the traditional distance intersection positioning model,the TOA intersec-tion positioning model is more suitable for the engineering practice and the optimization algorithm is more effective.Simulation results show that the proposed methods in this paper can effectively improve the positioning accuracy for the underwater target. | XING Yao WANG Jiongqi HE Zhangming ZHOU Xuanying CHEN Yuyun PAN Xiaogang | 2023 | Journal of Systems Engineering and Electronics2023，34，5： | 0 |
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