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Improved time-of-flight range acquisition technique in underwater lidar experiments

机译:水下激光雷达实验中改进的飞行时间测距技术

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This paper presents an underwater lidar time-of-flight ranging system that combines the variable forgivable factor recursive least-squares (VFF-RLS) adaptive filter algorithm and the constant fraction discriminator (CFD) timing technology. The effectiveness of suppressing the backscattering and increasing timing accuracy is experimentally verified in the water basin under the different target distances, especially near the detection limit. The classical RLS is creatively transformed by introducing the VFF, which is highly correlated to the target echo at any distance. The improvement of the signal-to-backscatter ratio always exceeds 18.9 dB. The Monte Carlo simulation proves the applicability of the proposed method in the media of different turbidity. The influences of the selective timing methods on the walk error and time jitter are compared, and the optimum zero point of CFD is achieved by the slope analysis of leading (falling) edge in experimental target pulses. (C) 2015 Optical Society of America
机译:本文提出了一种水下激光雷达飞行时间测距系统,该系统结合了可变可宽恕因子递归最小二乘(VFF-RLS)自适应滤波器算法和恒定分数鉴别器(CFD)计时技术。在水域中,在不同目标距离下,特别是在检测极限附近,通过实验验证了抑制反向散射和提高定时精度的有效性。通过引入VFF,可以对经典的RLS进行创造性地转换,该VFF与任意距离的目标回波高度相关。信噪比的改善始终超过18.9 dB。蒙特卡罗模拟证明了该方法在不同浊度介质中的适用性。比较了选择时序方法对行走误差和时间抖动的影响,并通过对实验目标脉冲中的上升沿(下降沿)进行斜率分析,获得了CFD的最佳零点。 (C)2015年美国眼镜学会

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