Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (4): 662-671.doi: 10.21629/JSEE.2019.04.04

• Electronics Technology • Previous Articles     Next Articles

Power optimization algorithm for OFDM underwater acoustic communication using adaptive channel estimation

Yasong LUO*(), Shengliang HU(), Chengxu FENG(), Jijin TONG()   

  • Received:2018-11-12 Online:2019-08-01 Published:2019-08-29
  • Contact: Yasong LUO E-mail:baggio@sina.com;1936675088@qq.com;kerryfengcx@126.com;65349942@qq.com
  • About author:LUO Yasong was born in 1982. He is a Ph.D. and an associate professor in Naval University of Engineering. His research interests are underwater acoustic channel estimation and communication system. E-mail:yours baggio@sina.com|HU Shengliang was born in 1974. He is a Ph.D. and a professor in Naval University of Engineering. His research interests are electronic countermeasure and signal processing. E-mail:1936675088@qq.com|FENG Chengxu was born in 1986. He is a Ph.D. and a lecturer in Naval University of Engineering. His research interests are system engineering and data fusion. E-mail:kerryfengcx@126.com|TONG Jijin was born in 1978. He is a Ph.D. and a lecturer in Naval University of Engineering. His research interests are weapon system and automatic control. E-mail:65349942@qq.com
  • Supported by:
    the National Natural Science Foundation of China(51679247);This work was supported by the National Natural Science Foundation of China (51679247)

Abstract:

An adaptive channel estimation algorithm for the channel length is proposed to construct a channel estimation model suitable for orthogonal frequency division multiplexing (OFDM) underwater acoustic communication signals for the dependence of traditional channel estimation algorithms on channel length information. This algorithm can be adopted to evaluate channel estimation quality in real time and to adaptively adjust the channel length of the channel estimation algorithm according to the evaluation result, which satisfies the need of accurate estimation of unknown underwater acoustic channels and communication application; based on the study on the relationship between the OFDM communication bit error rate and the subcarrier signal to noise ratio, a self-adjusting optimization scheme for OFDM subcarrier transmitting power is proposed, which realizes underwater communication with the low bit error rate through higher energy efficiency. The validity of the research content is verified through simulation and field experiments.

Key words: channel estimation, underwater acoustic communication, orthogonal frequency division multiplexing (OFDM), adaptive