基于雙門(mén)限判決修正Rife算法的正弦信號(hào)頻率估計(jì)
發(fā)布時(shí)間:2018-07-14 16:35
【摘要】:針對(duì)正弦信號(hào)頻率估計(jì)復(fù)雜度和性能難以兼顧的問(wèn)題,提出一種基于雙門(mén)限判決修正Rife算法的頻率估計(jì)算法.將信號(hào)頻點(diǎn)劃分為3個(gè)區(qū)域分別采用不同處理方案,具有估計(jì)精度高、運(yùn)算量小的特點(diǎn),適用于低功耗、低延時(shí)等應(yīng)用場(chǎng)合.仿真結(jié)果表明,該方法克服了經(jīng)典Rife算法在部分頻點(diǎn)估計(jì)誤差大的問(wèn)題,其頻率估計(jì)均方根誤差距離克拉美羅界僅有0.5dB.與現(xiàn)有其它改進(jìn)Rife算法相比,該方法在保證估計(jì)性能基本不變的前提下大幅降低所需計(jì)算量,有利于工程實(shí)現(xiàn).
[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.
【作者單位】: 北京理工大學(xué)信息與電子學(xué)院;中國(guó)專(zhuān)利技術(shù)開(kāi)發(fā)公司;
【基金】:國(guó)家“八六三”計(jì)劃項(xiàng)目(2012AA01A505) 國(guó)家自然科學(xué)基金資助項(xiàng)目(61271258,61301089)
【分類(lèi)號(hào)】:TN911.23
本文編號(hào):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.
【作者單位】: 北京理工大學(xué)信息與電子學(xué)院;中國(guó)專(zhuān)利技術(shù)開(kāi)發(fā)公司;
【基金】:國(guó)家“八六三”計(jì)劃項(xiàng)目(2012AA01A505) 國(guó)家自然科學(xué)基金資助項(xiàng)目(61271258,61301089)
【分類(lèi)號(hào)】:TN911.23
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1 司偉建;郝鑫;趙忠凱;陳濤;;基于改進(jìn)的Rife測(cè)頻算法及其FPGA實(shí)現(xiàn)[J];彈箭與制導(dǎo)學(xué)報(bào);2012年01期
,本文編號(hào):2122255
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