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您的检索式：作者名="MAYongFeng"
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| 1 | Impacts of snow accumulation on air temperature measured by automatic weather stations on the Antarctic ice sheet显示文摘The heights of automatic weather station (AWS) sensors over the Antarctic ice sheet are nominal and change with snow accumulation or ablation.Therefore,the measured data may not be used directly.In this study,we analyzed the impact of snow accumulation on AWS observations using continuous measurements from three AWS that were deployed on the traverse route from the Zhongshan Station to Dome A over East Antarctica.We then corrected the measured air temperature to account for changes in the sensor height relative to the snow surface to improve the authenticity and representativeness of the observation data from the AWS.The results show that (i) the annual mean snow accumulations at Dome A,Eagle and LGB69 were approximately 0.11 m,0.30 m and 0.49 m,respectively,and the corresponding annual mean air temperature differences between the corrected and measured values at 1 m in height were 0.34℃,0.29℃ and 0.35℃;(ii) the impact on air temperature from accumulation decreases with height from the surface;(iii) the air temperature difference between the corrected and measured values was not directly proportional to the snow accumulation but was related to the seasonal air temperature variations and the intensity of the local surface inversion;and (iv) the averaged corrected air temperature was higher than the measured values except during the summer when there were days without temperature inversion.The magnitude of the temperature difference between the corrected and measured was mainly determined by snow accumulation and the intensity of the local surface inversion. | MAYongFeng BIAN LinGen XIAO CunDe | 2011 | Chinese Journal of Polar Science2011，22，1： | 2 |
| 2 | ADPTIVE INTERFERENCE CANCELER BASED ON FOURTH ORDER CUMULANT显示文摘An adaptive interference cancler algorithm based on fourth-order cumulant is proposed to overcome the fault of conventional autocorrelation-based Least Mean Square (LMS)algorithm which cannot suppress the correlated Gaussian noises. The recursive formulation of the proposed algorithm is given to reduce its computational complexity. The simulation results are presented to demonstrate the effectiveness of this novel approach. | MaYongfeng ZhangWeiqiang TaoRan | 2005 | Journal of Electronics(China)2005，22，4： | 0 |
| 3 | The Complex Ambiguity Function Based on Downsampled Fourth-Order Statistics显示文摘Aiming at the problem of target detection in passive radar in correlated noise surroundings, we present a new estimation of the Complex ambiguity function based on Downsampled fourth-order statistics (CAF-DFOS) to improve the performances of the traditional Complex ambiguity function based on Second-order statistics (CAF-SOS) and the existing Complex ambiguity function based on Fourth-order statistics (CAF-FOS). Both the theory and the simulations show that in the aspect of Gaussian noise suppression, its performance is better than the CAF-SOS algorithm; in the aspect of estimate variance and frequency resolution, its performance is better than the CAF-FOS algorithm. | MAYongfeng ZHANGWeiqiang TAORan | 2004 | Chinese Journal of Electronics2004，13，4： | 0 |
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