基于改进野狗优化算法的二维MUSIC声源定位研究

Research on two dimensional multiple signal classificaion sound source location based on improved dingo optimization algorithm

针对二维多重信号分类算法(MUSIC)在进行信号波达方向估计时存在运算复杂、速度慢的问题,提出基于改进野狗优化算法的二维MUSIC声源定位算法。该算法首先通过结合精英反向学习策略与二次插值方法改进野狗优化算法,提高算法寻优能力,再与MUSIC算法结合,使算法能快速且准确定位。实验结果表明,该算法与传统MUSIC方法对比,定位精度得到提高,且节约了88.6%的搜索时长,计算量降低,获得更好的实时性。

Aiming at the problems of complex operation and slow speed in the estimation of the direction of arrival of the twodimensional multiple signal classification algorithm(MUSIC),a two‑dimensional MUSIC sound source location algorithm based on the improved dingo optimization algorithm is proposed.The algorithm first improves the dingo optimization algorithm by combining the elite reverse learning strategy and the quadratic interpolation method to improve the optimization ability of the algorithm,and then combines with the MUSIC algorithm to make the algorithm locate quickly and accurately.The experimental results show that compared with the traditional MUSIC method,the positioning accuracy of the algorithm is improved,and 88.6%of the search time is saved,and the calculation amount is reduced,and better real‑time performance is obtained.