首页|L型阵水下目标方位和距离联合最大似然估计

L型阵水下目标方位和距离联合最大似然估计

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空间目标定位是阵列信号处理领域中的研究热点,广泛应用于雷达、声纳、通信、射电天文、医学诊断、地震遥感等众多领域.传统的水下声源定位仅获取目标声源的深度和距离信息,却无法估计目标的方位信息.针对这一问题,在充分考虑水下声传播模型的基础上,利用L型阵列固有的结构特征,将最大似然估计技术应用到水下目标定位,提出一种基于L型水听器阵列的水下目标方位与距离联合最大似然估计算法.研究表明:最大似然估计法可有效突破传统波束形成分辨力"瑞利限"的限制,提高水下目标定位的分辨能力和精度.计算机仿真分析显示,在单目标和相干双目标的场景中,文中所提出的方法均具有更为尖锐的谱峰及更低的旁瓣水平,可对水下目标进行有效的方位角和距离联合估计.
Joint DOA and range Maximum Likelihood estimation based on L-shaped array for underwater targets
Spatial source localization has become one of the most important research areas in array signal processing and and plays a critical role in numerous engineering applications including radar,sonar,satellite communication,radio astronomy,medical diagnosis,earthquake remote sensing and so on.Traditional underwater source location technique can only acquire the depth and range information without direction-of-arrival(DOA)estimation.Aiming at this problem,in this paper,on the basis of the underwater acoustic propagation model,we make fully use of the inherent structure of L-shaped array and introduce the Maximum Likelihood(ML)technique into the underwater source localization,finally derive an efficient joint DOA and range Maximum Likelihood estimation algorithm based on horizontal L-Shaped array.Simulation results indicate that in the case of a single source and two closely spaced coherent sources,our proposed algorithm has sharper spatial spectrum peaks and lower sidelobe level,so the feasibility and validity of the proposed method is demonstrated.

L-shaped arrayunderwater propagationjoint DOA and range estimationMaximum Likelihood

宋海岩、迟凤阳、唐弢

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黑龙江工程学院电气与信息工程学院,哈尔滨 150050

L型阵列 水下声传播 方位角及距离联合估计 最大似然估计法

黑龙江省省属普通本科高校科研专项资金项目

2018CX11

2024

黑龙江工程学院学报
黑龙江工程学院

黑龙江工程学院学报

影响因子:0.414
ISSN:1671-4679
年,卷(期):2024.38(2)
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