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The performance of subspace estimation algorithms degrades substantially in the presence of mutual coupling and channel discord by the perturbance of the steering matrix. Classical self-calibration algorithms need multidimensional search, optimization and iteration, and large calculation quantity. In order to avoid these shortcomings, a novel joint calibration algorithm using rotational invariance techniques is proposed in this paper. Two sub-arrays' steering matrix can maintain the rotational invariance property in the presence of array errors by switching channels and selecting sub-arrays according to the characteristic of the mutual coupling matrix. So, the estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm is applicable to mutual coupling and channel discord scenarios. The algorithm requires neither searching the spectrum peak nor estimating error parameters, and the calibration of array errors does not need an additional calculation quantity. Simulation results show that the proposed algorithm can restrain mutual coupling and channel discord. The performance of the algorithm is equivalent to the performance of the standard ESPRIT algorithm without errors. 相似文献
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为进一步规范舰艇鉴定定型试验模式转变和能力建设的要求,立足试验领域改革实践,系统分析舰艇试
验的主要特点、实施依据和发展需求,提出定型考核的总体策略,从组织机构与运行机制、阶段划分与考核内容、
实施模式与手段方法、技术管控与风险预测、标准体系与法规制度等角度论述了定型考核总体规划的内容,探讨了
项目体系设置、实施程序分解、集成环境构设、作战想定推演和评估方法构建等方案设计方法,为新型驱护舰鉴定
定型工作的顶层设计和创新研究提供技术参考。 相似文献
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