遗传算法在矢量传感器对目标进行定向中的应用
doi: 10.3724/SP.J.1146.2005.00699
Genetic Algorithm Applied to Bearing of Target by Acoustic Vector-Sensor
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摘要: 矢量传感器通过测量水中质点的振速信息，仅用单个的矢量传感器就可以进行水下目标的方位估计。本文分析了声压梯度法和互谱声强法的定向原理，并将遗传算法引入互谱声强法目标定向中。通过构建适应度函数，根据信号适应度函数进行遗传选择，舍弃不稳定信号，对有用信号进行杂交，从而获得较高的定向精度。仿真结果表明，该算法可以有效地进行目标方位估计，进一步提高定向精度。
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关键词:
- 定向;矢量传感器;声强;遗传算法
Abstract: Vector hydrophone can measure energy and particle velocity at a point in space with one sensor and can estimate the bearing of target. This paper , sound pressure gradient method and acoustic intensity method and apply genetic algorithm for acoustic intensity method bearing of target are analyzed. Instable signal and intercross steady signal for upper precision through construct adaptive function and process genetic selection with construct adaptive function are abnegated. The result of computer simulation indicates the algorithm can effectively bearing of target and enhance the precision of bearing. -
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