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短序列多项式相位信号的参数估计

Parameter estimation for short sequence polynomial-phase signals
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摘要 恒定幅度的多项式相位信号(PPS)由其相位多项式系数表征。针对短序列PPS参数估计的困难,在介绍基于高阶模糊函数(HAF)和乘积高阶模糊函数(PHAF)参数估计算法的基础上,通过对该算法的估计效果特别是短序列情况的分析,提出短序列PPS参数估计的一般方法和对该算法的改进。Monte-Carlo仿真表明,改进算法改善了PPS参数估计的效果,同时提高了运行效率。 Constant-amplitude polynomial-phase signals (PPSs) are characterized by their phase polynomial coefficients. It is usually difficult to estimate the phase polynomial coefficients for short sequence PPSs. A high-order ambiguity function and product high-order ambiguity function based PPS parameter estimation algorithm was introduced. By analyzing its performance especially in the case of the short sequence, the improvement to this algorithm was made. The Monte-Carlo simulation shows that the proposed algorithm improves the estimation effect and raises the operation efficiency.
出处 《吉林大学学报(工学版)》 EI CAS CSCD 北大核心 2006年第3期429-432,共4页 Journal of Jilin University:Engineering and Technology Edition
基金 国家自然科学基金资助项目(60072027)
关键词 信息处理技术 短序列多项式相位信号 高阶模糊函数 乘积高阶模糊函数 information processing technology short sequence polynomial-phase signals high-order ambiguity function(HAF) product HAF(PHAF)
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参考文献8

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