遗传算法应用于矢量传感器目标定向跟踪

矢量传感器能够同步测量空间一点处的声压和质点振速信息,由此可估计出目标的方位信息.论述了各向同性噪声场情况下,矢量传感器接收到的声压能量与振速能量的关系.针对互谱声强法定向原理,将遗传算法引入到矢量传感器的目标定向跟踪中.根据声压与振速之间的关系、信号的稳定性构建了遗传算法的适应度,并且对基本遗传算法进行了改进,采用没有重串的稳态繁殖寻求全局最优解.计算机仿真分析结果表明该算法可以有效地进行目标方位跟踪,进一步提高目标定向精度.

Genetic algorithm applied to bearing and tracking by acoustic vector-sensor

A vector hydrophone can measure pressure and particle velocity at a single point in space and estimate the bearing of a target.To improve target bearing,a genetic algorithm was applied to the bearing and tracking by an acoustic vector-sensor using the reciprocal spectral acoustic intensity method.The connection between pressure energy and velocity energy in an isotropic noise field was discussed.The fitness function was constructed by the stability of signal and the connection between pressure and velocity.An improvement of the basic genetic algorithm,steady state reproduction without duplicates was used to search the result in all areas.Computer simulation indicates the algorithm can track the bearing of a target and improve bearing accuracy.