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| 1 | Optimal beamforming for arbitrary arrays using second-order cone programming显示文摘Two optimal beamforming approaches for sensor arrays with arbitrary shapes and element directivities are proposed. The first one minimizes the sidelobe level while keeping the distortionless response in the direction of the desired signal and maintaining the mainlobe width. The second approach maximizes the array gain while keeping the mainlobe direction and controling the sidelobe level which is strictly guaranteed to be below a prescribed value. Array weight norm constraint is used to improve the robustness of the two optimal beamforming approaches against random errors. The first approach provides the optimal tradeoff among the sidelobe level, the beamwidth and robustness; and the second approach provides the optimal tradeoff among the array gain, the sidelobe level and robustness. Both optimal beamforming problems are formulated as the second-order cone programming which can be easily solved using well-developed interior-point methods. Results of computer simulations and lake-experiment for a circular array demonstrate superior performance of the approaches proposed in this paper in comparison to some existing adaptive-based algorithms. | YANShefeng MAYuanliang SUNChao | 2005 | Chinese Journal of Acoustics2005，24，1： | 24 |
| 2 | Anewdiffu-sionmodelofsulfateionsinconcrete显示文摘 | SunChao ChenJiankang ZhuJue etal | 2013 | ConstructionandBuildingMaterials2013，39，： | 1 |
| 3 | Anchored PCR (A-PCR): A new method for chromosome walking显示文摘 | CHENBojun SUNChao WANGYong HUYuanlei LINZhongping | 2004 | Chinese Science Bulletin2004，49，16： | 1 |
| 4 | Experimental studies on the multistage constant modulus array for the estimation of directions-of-arrival显示文摘The performance of the multistage Constant Modulus (CM) array, one of the most striking blind beamforming algorithms, for the source Directions-of-Arrival (DOA) estimation was analyzed via computer simulations and water tank experiments, and was compared to that of other DOA estimation algorithms including the 'non-blind' and the 'blind'. Firstly, a nominal array model and an array model with gain and phase perturbations were established,respectively. Secondly, the multistage CM array algorithm was described and computer simulations were conducted. Simulation results showed that the multistage CM array could correctly estimate the DOA at the same time when the sources were blindly recovered, and the angle separating ability of the algorithm was beyond the Rayleigh resolution limit. By changing the variance of the array model errors, it was also verified that the multistage CM array was more robust to the errors than some other algorithms mentioned in this paper. Finally, water tank experiments and data processing results were provided. Situations with different array sizes and source angular separations were considered. It was shown that the results were in good agreement with computer simulations. Results of computer simulations and water tank experiments verified that the DOAs of the multiple independent sources could be blindly and robustly estimated with the multistage CM array. | ZHUOJie SUNChao | 2004 | Chinese Journal of Acoustics2004，23，3： | 1 |
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