Abstract
According to underwater acoustic orthogonal frequency division multiplexing communication system, an underwater acoustic channel estimation algorithm based on compressed sensing is proposed in this paper, by making use of the natural sparse features of the underwater acoustic. The samples of the channel frequency response are obtained by inserting the two-dimensional pilot symbols according to linear interpolation with the channel-sensing on the basis of existing underwater acoustic OFDM communication system. And then a complete dictionary is designed. Finally, the underwater acoustic channel estimation is completed by using the compressive sampling matching pursuit algorithm. The simulation results show that the estimation accuracy of our algorithm is better than the conventional underwater acoustic estimation algorithm with lower computational complexity and higher stability at the same time. Therefore, our algorithm can be applied to practical underwater acoustic OFDM communication system preferably.
Z. Zou—Please note that this project is supported by the National Natural Science Foundation of China (No. 61170065, 61373137, 61100199, and 61401221), Natural Science Foundation of Jiangsu Province (No. BK2012436 and BK20141429), Scientific and Technological Support Project (Society) of Jiangsu Province (No. BE2014718 and BE2013666), and NJUPT Natural Science Foundation (No. NY213157 and NY213037).
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Zou, Z., Lu, S., Shen, S., Wang, R., Lin, X. (2015). Channel Estimation Algorithm Based on Compressed Sensing for Underwater Acoustic OFDM Communication System. In: Sun, L., Ma, H., Fang, D., Niu, J., Wang, W. (eds) Advances in Wireless Sensor Networks. CWSN 2014. Communications in Computer and Information Science, vol 501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46981-1_11
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DOI: https://doi.org/10.1007/978-3-662-46981-1_11
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