基于Parzen窗的水下无线传感器网络目标定位方法

摘要

In Underwater Wireless Sensor Network (UWSN) the accuracy of target localization suffers from invalid anchors. To reduce the impact, an improved cross-bearing localization method is proposed based on the Parzen window. In this method, the probability of target location is estimated by the Parzen window according to the distribution characteristics of all intersection points, and the target location is selected as the point corresponding to the maximum value of probability. Because of the nonlinear and multi-peak features of the probability distribution, the standard particle swarm optimization method is adopted to solve the problem. Simulations indicate that the proposed method avoids effectively the influence of the invalid anchors on the performance of localization, and has better accuracy and robustness compared with other cross-bearing localization methods in the complex underwater environment.%水声通道复杂多变，使得水下无线传感器网络中节点出现失效的情况，影响了多节点的目标定位性能。为解决这一问题，该文提出一种基于Parzen窗的方位交线定位方法。该方法利用Parzen窗分析所有交点的分布特征，估计目标可能出现在某个位置的概率，将概率最大值对应的点作为目标的估计位置。由于概率分布是非线性、多峰值的，采用带有惯性权重的粒子群算法去求解。仿真实验结果表明，所提方法能够在节点失效的情况下获得较高的目标定位性能，具有较好的鲁棒性。