基于时频修正与波形变换的MFSK信号调制参数盲估计

发布时间：2018-05-30 00:33

  本文选题：多进制频移键控 + 时频修正　； 参考：《电子与信息学报》2017年10期

【摘要】：多进制频移键控(MFSK)信号被广泛应用于各种军用、民用通信系统中。针对其调制参数估计,现有的方法大多基于小波变换,但其存在抗噪性能差,参数不易选取等问题。通过对语图不确定原理的研究,该文提出一种语图逻辑"与"运算方法,并引入波形变换理论改善时频变换波形占空比,提高了估计算法的信噪比门限,完成低信噪比下MFSK信号调制参数的自适应盲估计。仿真表明,所提算法在抗噪声、频偏性能及参数选取鲁棒性上均优于现有常用算法,适合工程实践。
[Abstract]:Multi-ary frequency shift keying (MFSKK) signals are widely used in military and civil communication systems. For the estimation of modulation parameters, most of the existing methods are based on wavelet transform, but it has some problems such as poor anti-noise performance and difficult to select parameters. Based on the study of the principle of linguistic image uncertainty, this paper presents a logical "he" algorithm for linguistic graph, and introduces the waveform transformation theory to improve the duty cycle of time-frequency transform, thus increasing the SNR threshold of the estimation algorithm. Adaptive blind estimation of modulation parameters of MFSK signal at low signal-to-noise ratio (SNR) is completed. The simulation results show that the proposed algorithm is better than the existing algorithms in anti-noise, frequency offset performance and parameter selection robustness, and is suitable for engineering practice.
【作者单位】： 解放军信息工程大学信息系统工程学院;
【基金】：国家自然科学基金(61072046)~~
【分类号】：TN911.3
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本文编号：1953138