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Research on Robust Adaptive Beamforming Algorithms

Author: ZhangHaiBin
Tutor: JinMingLu
School: Dalian University of Technology
Course: Circuits and Systems
Keywords: Adaptive array Robust beamforming Diagonal loading No parameters
CLC: TN911.7
Type: Master's thesis
Year: 2010
Downloads: 136
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Abstract


Adaptive beamforming array signal processing , one of the key technologies , it has a wide range of applications in sonar , communications , medical imaging and other areas . Adaptive beamformer will decline due to such random error , the error between the actual covariance matrix estimation error , the steering vector error signal environment ideal signal environment and its beamforming performance . Therefore the adaptive beamforming robustness becomes very necessary . Diagonal loading is commonly used simple and effective increase the beamformer robustness of the method , the drawback is the size of the load value is not easy to determine . Although scholars have made ??a lot of research work , diagonal loading value calculation beamforming performance has been greatly improved , but most of the methods or calculated based on the value of experience and the need for additional parameters , these additional parameters in the practical application of in general is difficult to accurately estimate out the beamforming algorithm , and these parameters tend to have a great influence . In practical applications , but also requires no parameters beamforming algorithm . This article briefly describes the adaptive array mathematical model and algorithm performance measurement methodology , list several common beamforming algorithm analysis , pointing out its advantages and disadvantages . The principle diagonal loading next analysis and simulation verification , and a fully automatic calculation of the value of the diagonal loading improved algorithm based on the Generalized linear combination (GLC) . The algorithm by introducing a steering vector deviation of the size-related factor to adjust the value of the size of the original load , so that the array at the same presence the guide vector deviation and the covariance matrix of the deviation case has a higher SINR output . The simulation results show that the algorithm has additional estimated input parameters advantages of the GLC algorithm does not require the same , better beamforming and also in the case of the presence of DOA deviation higher SINR output . Finally, a brief description and core algorithms on DSP Builder software FPGA behavioral simulation , the simulation results show that the matrix computation module system architecture .

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