基于改进Huber估计的水下尺度目标参数估计

尺度目标参数是水下声自导武器近程进行弹道机动和垂直命中攻击的关键参数,有效估计尺度目标的特征参数对保证水下声自导武器作战毁伤效果至关重要.本文利用水下声自导武器检测得到的尺度目标多亮点信息对目标尺度参数进行估计,然而目标不同反射部位的反射能力不同,对应的多亮点检测信噪比存在差异,直接利用最小二乘拟合进行尺度参数估计可能会造成较大的估计误差.基于Huber稳健M估计原理,通过分析对Huber估计进行了改进,该方法利用亮点强度和拟合误差计算迭代拟合权值矩阵,通过拟合误差剔除可能存在的干扰亮点,能对目标长度、走向角、等效点进行有效估计.仿真分析和实航试验结果均表明,该方法具有稳健的收敛性能,能有效剔除干扰点,具有较强的抗干扰能力和较高的参数估计精度.

Parameter Estimation of Underwater Scale Target Based on Improved Huber-Estimation

Scale target parameters are the key parameters for short-range trajectory maneuvaer and perpendicular hit attack of underwater acoustic homing weapons.Effective estimation of the characteristic parameters of scale target is important to ensure the operational destructive effect of underwater acoustic homing weapons.To reduce the scale parameter estimation errors from least squares fitting,this paper proposes an parameter estimation method of underwater scale target based on the improved Huber estimation,calculates the iterative fitting weight matrix via the proposed method by making use of target highlight strength and fitting error.Hence,target′s length,course angle and equivalent point are estimated effectively by eliminating inter-ference highlight via fitting error.Simulation and sea trial show that the proposed method can effectively eliminate interference point,and has steady convergence performance,greater anti-interference capability and higher parameter estimation accuracy.