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基于最小波形熵的运动补偿逆梯度参数搜索法
引用本文:沈广才,沈福民.基于最小波形熵的运动补偿逆梯度参数搜索法[J].火控雷达技术,2005,34(3):28-31.
作者姓名:沈广才  沈福民
作者单位:西安电子科技大学,西安,710071
摘    要:采用最小波形熵法来进行动目标跟踪中的运动补偿,并在此基础上提出一种新的参数搜索算法——门限判决逆梯度法。该方法针对运动补偿波形熵的特征,通过门限判决,消去了多极点的影响,减少了运算量;同时克服了传统梯度算法的缺陷,有效提高了搜索稳健性,更利于快速跟踪。计算机仿真表明了该算法的高效性。

关 键 词:运动补偿  波形熵  门限判决逆梯度搜索
文章编号:1008-8652(2005)03-028-004
收稿时间:2004-09-30
修稿时间:2004年9月30日

Anti-gradient Parameter Searching Approach to Motion Compensation Based on Least Waveform Entropy
Shen Guangcai,Shen Fumin.Anti-gradient Parameter Searching Approach to Motion Compensation Based on Least Waveform Entropy[J].Fire Control Radar Technology,2005,34(3):28-31.
Authors:Shen Guangcai  Shen Fumin
Abstract:By the adoption of least waveform entropy method to motion compensation while tracking maneuvering targets, a novel method for parameter searching, named threshold verdict anti-gradient method, is processed, which is based on the character of waveform entropy-like function for motion compensation. It is able to ignore the influence of multi-extremity waveforms so as to reduce the calculation via threshold verdict, and to overcome the drawback of traditional gradient by promoting the searching steadiness so as to track targets more easily. Matlab simulations prove its efficiency.
Keywords:motion compensation  waveform entropy  threshold entropy  threshold-verdict  antigradient searching
本文献已被 CNKI 维普 万方数据 等数据库收录!
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