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SNR estimation of LFM signal for the underwater acoustic channel based on improved M2M4
Yuan, Fei ; Zhang, Yongxiu ; Gao, Chunxian ; Su, Wei ; Cheng, En ; Yuan F(袁飞) ; Cheng E(程恩)
刊名http://dx.doi.org/10.12733/jcis6131
2013-06-01
关键词Channel estimation Gaussian distribution Gaussian noise (electronic) Method of moments Telecommunication Underwater acoustics
英文摘要For channel estimation of the communication system, SNR (Signal to Noise Ratio) estimation is a very important parameter. In this paper, we combine the classical Rayleigh and Rician channel with additive white Gaussian noise to simulate the underwater acoustic channel statistical models. Then we apply the SNR estimation method M2M4 (Second order and Fourth order Moment method) for LFM system in underwater acoustic channel. Furthermore, according to the characteristics of both LFM system and channel models, we put forward the improvement of M2M4 based on FRFT (Fractional Fourier Transform) to increase the algorithm performance for underwater acoustic Rayleigh Gaussian channel, Rician Gaussian channel and Ray Tracking channel. ? 2013 by Binary Information Press.
语种英语
出版者Binary Information Press
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/92622]  
专题信息技术-已发表论文
推荐引用方式
GB/T 7714
Yuan, Fei,Zhang, Yongxiu,Gao, Chunxian,et al. SNR estimation of LFM signal for the underwater acoustic channel based on improved M2M4[J]. http://dx.doi.org/10.12733/jcis6131,2013.
APA Yuan, Fei.,Zhang, Yongxiu.,Gao, Chunxian.,Su, Wei.,Cheng, En.,...&程恩.(2013).SNR estimation of LFM signal for the underwater acoustic channel based on improved M2M4.http://dx.doi.org/10.12733/jcis6131.
MLA Yuan, Fei,et al."SNR estimation of LFM signal for the underwater acoustic channel based on improved M2M4".http://dx.doi.org/10.12733/jcis6131 (2013).
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