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基于自适应干扰抑制与和差测角性能的阵形评估

Performance Evaluation for Array Configurations by Adaptive Interference Suppression and Direction of Arrival Estimation

【作者】 杨玲

【导师】 李军; 曾操;

【作者基本信息】 西安电子科技大学 , 信号与信息处理, 2011, 硕士

【摘要】 针对不同阵形自适应干扰抑制及和差测角性能差异问题,研究阵形与干扰抑制性能和测角性能的关系,完成对常见平面阵形的性能评估。首先,开展了基于自适应干扰抑制性能阵形评估的研究。从表征自适应干扰抑制性能的输出信干噪比出发,推导出输出信干噪比与含有阵形结构信息的空域相关系数模平方具有减函数关系,将对输出信干噪比的评估等效为对空域相关系数的评估;基于空域相关系数的波束宽度与积分旁瓣矢量设计加权评价准则,提出了一种自适应阵形评估方法,得出圆阵的自适应干扰抑制能力较好的结论。其次,开展了基于测角性能阵形评估的研究。采用相同的和差测角方法,比较了不同阵形的鉴角曲线和测角精度,得出圆阵测角精度高的结论。最后,结合实际项目,基于数字信号处理芯片实现了和差波束测角模块,通过半实物仿真数据,验证了不同阵形的和差测角性能。

【Abstract】 With respect to different array configurations, the performances of adaptive interference suppression and direction of arival (DOA) estimation will be different, the relationship between their performances with the array configurations is presented and the performance evaluation based on familiar plane array configurations is achieved in the thesis. Firstly, the performance evaluation of adaptive interference suppression is studied. The output-signal-to-interference-plus-noise-ratio (OSINR) is usually presented to weigh the performances of adaptive interference suppression, and the spatial correlation coefficient is relative to the array configurations. Then the mathematical relationship is derived, namely OSINR is a decreasing function of the square of the spatial correlation coefficient. So the evaluation can be simplified by adopting the spatial correlation coefficient instead of the OSINR. Based on the criteria of the beaming width and the integrated sidelobe level, a method for the evaluation of the spatial correlation coefficient is proposed. And the conclusion is derived that the performance of the circular array is better than the others according to the criteria. Secondly, the effects of the array configurations on the performance of DOA is developed. Exploiting the sum and difference patterns method for DOA estimation, the comparison of the angular curve and the accuracy of DOA estimation between different array configurations is presented. Then the conclusion is drawn that the circular array has the better performances on the accuracy of DOA estimation. Lastly, combinied with the practical program, the hardware modules is achieved by the digital signal processor (DSP). Simulation results of the real measured data verify the performance of DOA estimation with respect to different array configurations, via the sum and difference patterns method.

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