论文部分内容阅读
精确测定目标信号到达不同水听器的延时差是被动测距声响正常工作的基础,由于海水中声传播的多途效应,往往使延时差随机起伏,被动声呐的后置处理系统应当采用合理的算法消除起伏的影响。本文提出一种类似于Kalman滤波的数据平滑算法,把测量数据的方差反馈到系统的输入端。同时用筛选的方法把由偶然因素引起的,实际上不可能是由目标信号的延时差过滤掉,从而给出置信度作为指挥决策的依据,这对提高被动测距声呐的测距精度具有重要意义。
Accurate determination of the target signal to reach the different hydrophone delay difference is the basis of the passive ranging sound normal work, due to the multi-channel effect of acoustic propagation in seawater, often make the delay difference random fluctuations, the passive sonar post-processing system should be used Reasonable algorithm to eliminate the effects of ups and downs. In this paper, a data smoothing algorithm similar to Kalman filter is proposed, which feeds back the variance of measurement data to the input of the system. At the same time using the screening method to cause by chance, in fact, impossible by the target signal delay filter, to give confidence as a basis for command decisions, which is to improve the passive ranging sonar ranging accuracy with Significance.