针对水下多基阵分布式估计融合问题,为了解决常规方法中存在的获取完全水下信道特性难度大、算法实现复杂度高以及占用大量通信资源的缺点,在分布式等判决门限估计融合方法的基础上,建立了水下多基阵分布式估计融合模型,提出了多基阵分布式不等门限估计融合方法。理论分析和仿真试验表明:新方法在目标参数估计精度以及抗噪等方面优于等门限估计融合方法;在基阵数目较大时,其估计性能与似然估计方法相当。这种方法考虑了水声信道通信带宽的限制,满足了实际分布式估计融合系统对于计算量小、复杂度低以及实时性强的要求,能够应用于水下目标探测领域。
In order to solve the shortcomings of conventional methods for distributed estimation fusion of underwater multi-array,such as having to know the complete knowledge of characteristics of underwater channels,the high algorithm complexity and consuming a large quantity of communication resources.Based on the equal threshold estimation fusion method,a model for distributed estimation fusion of underwater is multi-array established and an unequal threshold estimation fusion method is proposed.Both theory analysis and simulation indicate that the proposed method is superior to the method of equal threshold estimation fusion in the aspects of estimation precision and anti-noise property.When the number of the array is large,the estimation performance is comparable to the likelihood estimation method.This method takes account of the constraint of channel bandwidth of underwater acoustic communication,meets the requirements of an actual distributed estimation fusion system,such as low complexity,small computation load and good real-time feature.The new method can be used in the field of underwater target detection.