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PCMA信号幅度的联合估计算法
引用本文:魏驰,彭华,郭一鸣,樊军辉​. PCMA信号幅度的联合估计算法[J]. 系统工程与电子技术, 2019, 41(2): 433-437. DOI: 10.3969/j.issn.1001-506X.2019.02.28
作者姓名:魏驰  彭华  郭一鸣  樊军辉​
作者单位:解放军信息工程大学信息系统工程学院, 河南 郑州 450002
摘    要:针对成对载波多址(paired carrier multiple access, PCMA)信号的幅度估计问题,提出了一种联合累积量代价函数与高次方法的估计算法。算法通过求解累积量代价函数的最小值,得到两路信号分量的幅度比,然后利用高次方法估计强信号的幅度值,最后利用强信号的幅度值与两路信号分量幅度比计算弱信号幅度值。重点研究了频差、过采样倍数对算法估计性能的影响。仿真实验表明,该算法复杂度低,抗噪性能强,相比现有算法,本文算法性能受两路信号分量幅度比影响不大,对于对称型、非对称型PCMA信号的幅度估计均可适用。


Amplitude joint estimating algorithm for PCMA signals
WEI Chi,PENG Hua,GUO Yiming,FAN Junhui. Amplitude joint estimating algorithm for PCMA signals[J]. System Engineering and Electronics, 2019, 41(2): 433-437. DOI: 10.3969/j.issn.1001-506X.2019.02.28
Authors:WEI Chi  PENG Hua  GUO Yiming  FAN Junhui
Affiliation:Institute Information System Engineering, PLA Information Engineering University, Zhengzhou 450002, China;
Abstract:Aimed at the amplitude estimating problem for paired carrier multiple access (PCMA) signals, an amplitude estimating algorithm which combines the high square method and the cumulative cost function is proposed. The algorithm calculates the amplitude ratio of two signals by solving the minimum of cumulative cost function. The amplitude of the strong signal is estimated by four square method. And these two estimations are used to estimate the amplitude of the second signal. The influence of frequency difference and oversampling multiplier on the estimation performance is studied. Simulation results show that the algorithm has lower complexity and stronger noise resistance. Compared with the existing algorithms, this algorithm is not only suitable for symmetric PCMA signals which contain a two way signal with a greater difference in amplitude, but also for asymmetric PCMA signals which contains two signals with less amplitude difference.
Keywords:
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