文章摘要
王庆,周彬.基于模糊层次分析的空间谱估计性能评价方法[J].声学技术,2017,36(3):281~285
基于模糊层次分析的空间谱估计性能评价方法
Performance evaluation method of spatial spectrum estimation based on fuzzy analytic hierarchy process
投稿时间:2016-12-05  修订日期:2017-02-26
DOI:10.16300/j.cnki.1000-3630.2017.03.015
中文关键词: 空间谱估计  评价准则  模糊层次分析法  模糊三角数
英文关键词: spatial spectrum estimation  evaluation criteria  fuzzy analytic hierarchy process  fuzzy triangular number
基金项目:国防科技重点实验室基金(9140C240204150C24002)、973背景场项目(6132200303)
作者单位E-mail
王庆 杭州应用声学研究所, 浙江杭州 310023
声呐技术重点实验室, 浙江杭州 310023 
wangqing2015019@163.com 
周彬 杭州应用声学研究所, 浙江杭州 310023
声呐技术重点实验室, 浙江杭州 310023 
 
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中文摘要:
      在已经形成的多种空间谱估计方法中,为根据需求选择最优算法,建立了一种基于模糊层次分析的空间谱估计性能评价方法。从空间谱估计方法的处理性能和可实现性角度建立一种具有层次结构模型的性能评价准则,对各项性能评价指标做属性值规范化和权重系数模糊化处理,得到各评价指标的评价得分,累加得到处理算法性能量化评价的综合判决结果。基于仿真试验和某次海试试验结果,对常规波束形成(Conventional Beam Forming,CBF)、最小方差无畸变响应(Minimum Variance Distortion Response,MVDR)、多信号分类(Multiple SIgnal Classification,MUSIC)三种空间谱估计方法进行评价,在较高输入信噪比和弱化计算量条件下,MUSIC为评价最优算法。试验结果表明,此评价方法可以按需求实现最优空间谱估计方法的选择。
英文摘要:
      A variety of spatial spectrum estimation methods have been proposed.This paper puts forward a performance evaluation method for spatial spectrum estimation based on fuzzy hierarchical analysis to choose the optimal algorithm according to the requirements.A hierarchy structure model of performance evaluation criteria is established from the processing performance and realizability of beamforming algorithm.The standardization of the attribute values of various performance evaluation indices and the fuzzy processing of weight coefficients are conducted to obtain the evaluation score of each evaluation index and then to accumulate the evaluation scores for a comprehensive performance evaluation result of the processing algorithm.Based on the experimental results and a sea trial,the three spatial spectrum estimation algorithms of CBF,MVDR and MUSIC are evaluated,and under high input SNR and weak computing capacity,the MUSIC algorithm is evaluated as the optimum.The experimental results show that this evaluation method can be used to select the optimal beamforming algorithm.
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