基于双门限判决修正Rife算法的正弦信号频率估计
发布时间：2018-07-14 16:35
【摘要】：针对正弦信号频率估计复杂度和性能难以兼顾的问题,提出一种基于双门限判决修正Rife算法的频率估计算法.将信号频点划分为3个区域分别采用不同处理方案,具有估计精度高、运算量小的特点,适用于低功耗、低延时等应用场合.仿真结果表明,该方法克服了经典Rife算法在部分频点估计误差大的问题,其频率估计均方根误差距离克拉美罗界仅有0.5dB.与现有其它改进Rife算法相比,该方法在保证估计性能基本不变的前提下大幅降低所需计算量,有利于工程实现.
[Abstract]:Aiming at the problem that the complexity and performance of sinusoidal signal frequency estimation are difficult to take into account, a frequency estimation algorithm based on two-threshold decision modified rife algorithm is proposed. The signal frequency points are divided into three regions with different processing schemes, which have the advantages of high estimation accuracy and low computation cost. It is suitable for low power consumption and low delay applications. The simulation results show that the proposed method overcomes the problem of large error in partial frequency estimation of the classical rife algorithm. The root mean square error of the frequency estimation is only 0.5 dB from the Crameiro bound. Compared with other improved rife algorithms, the proposed method can greatly reduce the computational complexity while ensuring that the estimation performance is basically unchanged, which is beneficial to engineering implementation.
【作者单位】： 北京理工大学信息与电子学院;中国专利技术开发公司;
【基金】：国家“八六三”计划项目(2012AA01A505) 国家自然科学基金资助项目(61271258,61301089)
【分类号】：TN911.23
本文编号：2122255
[Abstract]:Aiming at the problem that the complexity and performance of sinusoidal signal frequency estimation are difficult to take into account, a frequency estimation algorithm based on two-threshold decision modified rife algorithm is proposed. The signal frequency points are divided into three regions with different processing schemes, which have the advantages of high estimation accuracy and low computation cost. It is suitable for low power consumption and low delay applications. The simulation results show that the proposed method overcomes the problem of large error in partial frequency estimation of the classical rife algorithm. The root mean square error of the frequency estimation is only 0.5 dB from the Crameiro bound. Compared with other improved rife algorithms, the proposed method can greatly reduce the computational complexity while ensuring that the estimation performance is basically unchanged, which is beneficial to engineering implementation.
【作者单位】： 北京理工大学信息与电子学院;中国专利技术开发公司;
【基金】：国家“八六三”计划项目(2012AA01A505) 国家自然科学基金资助项目(61271258,61301089)
【分类号】：TN911.23
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1 司伟建;郝鑫;赵忠凯;陈涛;;基于改进的Rife测频算法及其FPGA实现[J];弹箭与制导学报;2012年01期
，本文编号：2122255
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