利用粒子群算法和差分进化算法的优点，可以获得测向问题的全局最优解。
The ADPSO is a global optimization algorithm for direction finding, which takes advantage of the merits of differential evolutionary algorithm and particle swarm algorithm.
这一预测向人类呈现出了广泛的社会、经济、环境和政治问题，这些问题需要在当下解决，以确保人类拥有可持续发展的未来。
Such a projection presents mankind with wide-ranging social, economic, environmental and political issues that need to be addressed today to ensure a sustainable future for all.
为解决这一问题，提出了一种新型天线阵及基于该天线阵的测向方法。
For solving this problem, a novel antenna array and Direction-finding algorithm based on it are proposed.
通过运动等效，将多静止站系统转化成一个特殊的单运动测向站问题。
By maneuvering equivalent, the multiple stationary observers bearings-only system is transformed into a special single moving observer problem.
针对相干信号源测向以及模糊的实际问题，提出一种基于任意形状平面阵列的测向方法。
In this paper, an introduction of DOA estimation of coherent sources is proposed, which is suitable for arbitrary plane array.
以海面舰艇编队为背景，研究多平台舰载雷达侦察设备在协同侦察情况下对空中目标测向定位与跟踪问题。
On background of warship formation on sea, bearing location of aerial target with multi-platform cooperative reconnaissance is discussed in this paper.
从新型雷达侦察机多波束比幅测向原理出发，对新型雷达多波束侦察机多波束比幅测向内场仿真试验引起测向盲区问题进行了分析，为正确评估电子战侦察设备整体性能提供帮助。
Based on the theory of the multi-beam amplitude comparison DF of the new-style radar detector, the DF blind zone of multi-beam radar detector on inner site is analyzed in this paper.
为克服这些问题，文章给出了二维多基线测向系统。
To solve these issues, 2D variable baseline interferometer system is broughted.
研究了宽频段条件下平面阵列的二维测向模糊问题。
The sufficient and necessary condition for arbitrary planer array that doesn't exist two-dimension direction finding ambiguity is proposed.
麦克风间距的限制是互功率谱加权声源测向方法最大的问题，声源测向精度、角度分辨率与麦克风间距成反比。
The method used in the literature greatly limit the distance between the microphone-array, and the precision of direction finding is related to the distance of the microphone-array.
以现代（非线性）谱分析理论为基础的超分辨空间谱估计技术，目的在于解决密集信号环境中的信号源高分辨和高精度测向定位问题。
The super-resolution algorithm based on modern spectrum analytical theory intends to improve DOA estimation quality in the presence of dense signals.
以现代（非线性）谱分析理论为基础的超分辨空间谱估计技术，目的在于解决密集信号环境中的信号源高分辨和高精度测向定位问题。
The super-resolution algorithm based on modern spectrum analytical theory intends to improve DOA estimation quality in the presence of dense signals.
应用推荐