發(fā)布時(shí)間：2018-05-30 00:33

  本文選題：多進(jìn)制頻移鍵控 + 時(shí)頻修正�。� 參考：《電子與信息學(xué)報(bào)》2017年10期

【摘要】：多進(jìn)制頻移鍵控(MFSK)信號(hào)被廣泛應(yīng)用于各種軍用、民用通信系統(tǒng)中。針對(duì)其調(diào)制參數(shù)估計(jì),現(xiàn)有的方法大多基于小波變換,但其存在抗噪性能差,參數(shù)不易選取等問題。通過對(duì)語圖不確定原理的研究,該文提出一種語圖邏輯"與"運(yùn)算方法,并引入波形變換理論改善時(shí)頻變換波形占空比,提高了估計(jì)算法的信噪比門限,完成低信噪比下MFSK信號(hào)調(diào)制參數(shù)的自適應(yīng)盲估計(jì)。仿真表明,所提算法在抗噪聲、頻偏性能及參數(shù)選取魯棒性上均優(yōu)于現(xiàn)有常用算法,適合工程實(shí)踐。
[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.
【作者單位】： 解放軍信息工程大學(xué)信息系統(tǒng)工程學(xué)院;
【基金】：國家自然科學(xué)基金(61072046)~~
【分類號(hào)】：TN911.3
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本文編號(hào)：1953138