An improved distributed collaborative source localization based on underwater wireless sensor network (UWSN) is presented. The method builds up a target localization modeling for UWSN by using DOA (Direction of Arrival) measurements taken at each array sensor and analyzing the characteristics of underwater signal transmission, and takes the maximum likelihood estimate for underwater acoustic source localization. A distributed iterative Gauss-Newton algorithm with threshold value detection is proposed to expedite the computation of target localization. Furthermore, the simulation demonstrates the advantage performance of the novel approach in the terms of conservation of energy, data transmission and location precision. Compared to the different noise environment and target SL, the results achieve some effective conclusion.%提出了一种基于水下传感器网络的目标协同定位改进方法.基于多重信号分类方法(MUSIC)得到目标的DOA估计,通过对水下信号传输特性分析,建立水下阵列传感器网络的目标定位模型,利用最大似然估计得到目标位置.利用基于阈值检测的分布式高斯牛顿迭代法完成最大似然估计的解算.仿真结果表明该方法有效,节约了网络节点能量,降低了数据通信量,且得到了更好的定位精度.此外,分析比较了在不同噪声环境下、不同声源级情况下的目标位置结果.
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