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1)  robust adaptive beamforming(RABF)
鲁棒自适应波束形成算法
1.
In this paper,the robust adaptive beamforming(RABF) which determines the loading level based on worst-case performance optimization is investigated and a simple closed-form solution to the optimal loading is derived after some approximations,revealing how different f.
研究了最坏情况下的鲁棒自适应波束形成算法,它通过对角加载提高波束对方向矢量误差的鲁棒性。
2)  robust cyclic adaptive beamforming
鲁棒周期自适应波束形成算法
1.
In order to optimize the position and the depth of null,an improved robust cyclic adaptive beamforming algorithm with nonlinear constraint was presented.
为了解决R-CAB算法的方向图零陷不深或无法对准干扰信号方向的问题,在非线性约束条件下,通过二次优化鲁棒周期自适应波束形成算法的的权向量,调整了方向图零陷的位置和深度,改善了输出SINR。
3)  robust adaptive beamforming
鲁棒自适应波束形成
1.
With the recursive process given,a novel robust adaptive beamforming algorithm is therefore proposed using Bayesian approach to respond to the current environment by learning or estimating the direction of arrival(DOA) of the actual signal from observations.
针对上述问题,基于Bayesian方法提出了鲁棒自适应波束形成算法,并且给出其递推形式。
4)  adaptive beamforming algorithm
自适应波束形成算法
1.
Smart antennas receive much attention recently in the communication field The basic principle of smart antennas is first expounded Then the uplink narrowband adaptive beamforming algorithms are introduced The adaptive beamforming algorithms are classified, and the characteristic of each algorithm is discussed in detail The study status and applications of smart antennas are described in the en
阐述了智能天线的基本原理 ,介绍了上行链路窄带自适应波束形成算法 ,对自适应波束形成算法进行了分类 ,较为详细地讨论了各种算法的特点 ,介绍了智能天线的研究进展状况和智能天线的应
2.
A GA(genetic algorithm)-based adaptive beamforming algorithm for satellite smart antennas is proposed.
基于遗传算法提出了一种用于卫星智能天线的自适应波束形成算法,在遗传算法的变异操作中使用双变异概率,并将其与最优保留策略和内插交叉算子结合在一起使用,以此来克服传统遗传算法的早熟收敛问题,提高全局收敛能力和可靠性。
5)  robust beamforming algorithm
鲁棒波束形成算法
1.
A simplified robust beamforming algorithm
一种简化的鲁棒波束形成算法
6)  robust adaptive beamforming algorithm
鲁棒自适应算法
补充资料:鲁棒自适应控制
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性质:对那些存在不定性的系统进行控制,首先要在控制系统的运行过程中,通过不断测量系统的输入、状态、输出或性能参数,逐渐了解和掌握对象。然后根据得到的过程信息,按一定的设计方法,作出控制决策去更新控制器的结构、参数或控制作用,使系统在存在扰动和未建模动力学特性的条件下,系统仍能保持其稳定性和性能,即具有鲁棒性,同时在某种意义下使控制效果达到最优或次优,或达到某个预期目标。按此设计思想建立的控制便是鲁棒自适应控制。

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