共查询到17条相似文献,搜索用时 147 毫秒
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基于周期谱包络的线性调频信号特征参数估计 总被引:1,自引:0,他引:1
线性调频信号是二阶循环平稳信号,其周期谱幅度包含了信号的最小载频、最大载频以及调制斜率等信息。本文提出了利用非零循环频率处谱峰的位置与大小估计这三个参数的算法,该算法不需要信号参数的先验信息;对参数的估计是在非零循环频率处进行一维搜索,可减小平稳噪声和干扰的影响,适用于低信噪比情况,且避免了多维搜索;文中给出了算法的实现过程,分析了其估计性能,最后进行了计算机仿真实验。 相似文献
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针对最小频移键控(MSK)信号的循环平稳特性,分析其循环谱密度,将渐进最优x2分布应用到该种信号的盲检测中,提出了一种基于信号频域循环平稳特征的检测方案。根据其循环谱截面的特点,提出了对信号载频和码元速率进行估计的方法,该方法避免了多维搜索,而且不需要知道信号的频率参数等先验信息。仿真结果证明了在低信噪比下本文所提出检测和参数估计方法的有效性。 相似文献
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将谱相关理论应用到直接序列扩频信号的关键参数估计中,针对BPSK调制的直扩信号,分析了其谱相关密度函数的特征,提出了基于集平均的谱相关估计算法。该算法在非零循环频率上搜索特征谱线,从而在较低信噪比下完成对直扩信号载频和PN码速率的估计。最后通过仿真验证了该算法的性能。 相似文献
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在循环平稳理论基础上,以DS/BPSK信号为例,分析其循环自相关函数特征,提出一种基于循环自相关集平均的参数盲估计算法。该算法在非零循环频率上搜索特征谱线,从而在较低信噪比下完成对直扩信号载频和PN码速率的估计。通过算法仿真,证明该算法能够有效提高参数估计的信噪比容限。 相似文献
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A. P. Trifonov Yu. E. Korchagin M. B. Bespalova M. V. Trifonov 《Radioelectronics and Communications Systems》2017,60(12):519-527
This study investigates algorithms for the estimation of amplitude of the radio signal with rectangular envelope and unknown duration and initial phase. The synthesis and analysis of quasi-likelihood and quasi-coherent estimation algorithm have been performed. This algorithm implies that the unknown duration and initial phase are replaced with certain expected values of these parameters. The loss in accuracy of amplitude estimation owing to the a priori lack of knowledge of the duration and the initial phase is analyzed. The quasi-likelihood noncoherent algorithm for amplitude estimation with the initial phase adaptation is synthesized and its statistical characteristics such as the estimate bias and variance are determined. The relationships of the loss in estimation accuracy owing to the a priori lack of knowledge of signal duration are derived. The maximum likelihood algorithm for amplitude estimation was synthesized and analyzed. This algorithm implies that the unknown duration and the initial phase are replaced with their maximum likelihood estimates. The gain in accuracy of the maximum likelihood estimate as compared to the quasi-likelihood ones was investigated. It is shown that a priori lack of knowledge of the signal duration does not affect asymptotically the accuracy of maximum likelihood estimate of amplitude at large values of signal-to-noise ratio. 相似文献
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Cyclic minimizers, majorization techniques, and the expectation-maximization algorithm: a refresher 总被引:1,自引:0,他引:1
Many parameter estimation problems in signal processing can be reduced to the task of minimizing a function of the unknown parameters. This task is difficult owing to the existence of possibly local minima and the sharpness of the global minimum. In this article we review three approaches that can be used to minimize functions of the type encountered in parameter estimation problems. The first two approaches, the cyclic minimization and the majorization technique, are quite general, whereas the third one, the expectation-maximization (EM) algorithm, is tied to the use of the maximum likelihood (ML) method for parameter estimation. The article provides a quick refresher of the aforementioned approaches for a wide readership. 相似文献