全局收敛LM算法优化的机载激光测深信号提取方法

发布时间：2018-02-09 02:43

本文关键词： 机载激光测深波形分解信号提取全局收敛LM 多条件筛选　出处：《测绘科学技术学报》2017年04期 　论文类型：期刊论文

【摘要】：在机载激光测深系统中,水面与水底回波信号的提取精度是影响系统测深能力的关键因素,然而传统的信号提取方法易受噪声影响,精度低,对测量环境的适应性差。针对上述问题,提出一种全局收敛LM(Levenberg Marquardt)算法优化的机载激光测深信号提取方法。首先通过模糊筛选得到较为可靠的初值;然后利用基于全局收敛LM的波形分解算法对波形进行分析建模,从而获取每个初值点的高斯分解参数;最后通过多条件筛选确定精确的水面、水底回波信号位置。利用实测数据和模拟数据分别进行实验,结果表明提出方法对回波信号具有较高的检测正确率,且稳定性较强。
[Abstract]:In airborne laser sounding system, the precision of echo signal extraction from water surface and bottom is the key factor that affects the sounding ability of the system. However, the traditional signal extraction method is easy to be affected by noise, and the accuracy is low. In view of the above problems, a global convergent LM(Levenberg Marquardt algorithm is proposed to optimize the airborne laser sounding signal extraction method. Firstly, a more reliable initial value is obtained by fuzzy screening. Then the waveform decomposition algorithm based on global convergence LM is used to analyze and model the waveform, and then the Gao Si decomposition parameters of each initial point are obtained. Finally, the accurate water surface is determined by multi-condition screening. The experimental results show that the proposed method has high accuracy and stability for echo signal detection.
【作者单位】：信息工程大学;63618部队;
【基金】：国家自然科学基金项目(41371436) 地理信息工程国家重点实验室开放基金项目(SKLGTE2016-M-3-1)
【分类号】：P229

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