CAJ | 학술논문

海浪谱是随机海浪的一个重要统计性质，它不仅包含着海浪的二阶信息，而且还直接给出了海浪组成波能量相对于频率和方向的分布。谱方法已经成为研究海浪及其有关问题的有力工具。文中主要参照现代谱估计中的THREE谱估计方法，对基于Kullback- Leibler度量的随机信号的功率谱估计方法中优化参数的求解算法进行了改进，并与基于Hellinger度量的谱估计方法进行了比较。通过数值模拟和谱分析证实基于这两种度量的功率谱估计算法都能有效地避免谱线分裂和谱峰偏移现象。
해랑보시수궤해랑적일개중요통계성질，타불부포함착해랑적이계신식，이차환직접급출료해랑조성파능량상대우빈솔화방향적분포。보방법이경성위연구해랑급기유관문제적유력공구。문중주요삼조현대보고계중적THREE보고계방법，대기우Kullback- Leibler도량적수궤신호적공솔보고계방법중우화삼수적구해산법진행료개진，병여기우Hellinger도량적보고계방법진행료비교。통과수치모의화보분석증실기우저량충도량적공솔보고계산법도능유효지피면보선분렬화보봉편이현상。
Wave spectrum, an important statistical property of random wave, not only includes the second order information of wave but also represents wave energy distribution along with frequency and direction. It has become a powerful tool in ocean study and engineering. This paper considers the approximation of spectra in the Kullback-Leibler sense and proposes an alternative iterative algorithm to solve the Lagrange multiplier in the convex optimization problem. It also compares the spectral estimation method based on Hellinger measurement by numerical simulation. The results of simulation indicate that the two metrics in the power spectrum estimation can effectively detect spectral lines and steep variations.