面向物联网无人机通信的短突发CPM信号盲均衡算法

doi:10.12305/j.issn.1001-506X.2023.06.29

Abstract

Abstract:

Aiming at the problem of high complexity and poor convergence of blind equalization algorithm of short burst continuous phase modulation (CPM) in unmanned aerial vehicle communication in Internet of Things, an expectation maximization Viterbi (EMV) blind equalization algorithm is proposed. Firstly, a low-complexity blind equilibrium algorithm is obtained by embedding the Lazy Viterbi algorithm in the iterative process of the expectation maximization (EM) algorithm, and then a set of initial value is designed based on the blind channel-acquisition (BCA) method, which overcomes the proposed algorithm's sensitivity for the initial value and improve the convergence performance of channel estimation. Theoretical analysis and simulation results show that compared with traditional methods, the proposed blind equalization algorithm can take into account both convergence and computational complexity, and greatly reduce the computational cost under the condition of small performance loss, and has good robustness.

Key words: blind equalization, short burst, expectation maximization (EM) algorithm, Lazy Viterbi algorithm

CLC Number:

TN914

Zihao PAN, Chen XIE, Heng WANG, Yimin WEI, Daoxing GUO. Blind equalization algorithm of short burst CPM signal for UAV communication in Internet of Things[J]. Systems Engineering and Electronics, 2023, 45(6): 1847-1855.

Figures/Tables 9

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References 31

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参数	设置
频率脉冲g(t)	2-RC
进制数M	2
调制指数h	1/2
波特率/kHz	150
训练比特	4, 6, 8
数据长度/比特	66
衰落信道	两径莱斯衰落
最大时延拓展/μs	7
莱斯因子/dB	29
采样点/符号	2

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Blind equalization algorithm of short burst CPM signal for UAV communication in Internet of Things

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