In order to gain a better performance and reduce the computational complexity of the filter design in the underwater acoustic single carrier system, a new Iterative Block DFE (IBDFE) is proposed, which operates iterat...In order to gain a better performance and reduce the computational complexity of the filter design in the underwater acoustic single carrier system, a new Iterative Block DFE (IBDFE) is proposed, which operates iteratively on blocks of the received signal, and fully implements its filtering operations by Discrete Fourier Transforms (DFTs). Two design methods are considered for IBDFE: one is HD-IBDFE, and the other is SD-IBDFE. In this paper, the first one is adopted. In this scheme, hard detected data are used as input of the feedback, and filters are designed according to the correlation between detected and transmitted data. In the simulations and experiments, the method of the HD-IBDFE is introduced, and for comparison, the performance of H-DFE is shown, as well as that of ZF, MMSE and Matched-Filter-Bound (MFB). From the results of the simulations on a Rayleigh fading channel, it is easily found that on average, the HD-IBDFE outperforms H-DFE. When the number of iteration is 4, HD-IBDFE outperforms ZF, MMSE and H-DFE by about 11dB, 5dB and 0.7dB respectively at BER=10-4. As for MFB, the HD-IBDFE still has a degradation of 1.6 dB. In addition, the experimental results in both experiment pool and shallow water also verify the achievement. The simulation and experiment results indicate that the IBDFE outperforms other equalization schemes. What's more, it exhibits a reduction of the computational complexity.展开更多
The carrier frequency offset（CFO）and impulse noise always affect the performance of underwater acoustic communication_systems.The CFO and impulse noise could be estimated by using the null subcarriers to cancel the ...The carrier frequency offset（CFO）and impulse noise always affect the performance of underwater acoustic communication_systems.The CFO and impulse noise could be estimated by using the null subcarriers to cancel the effects of the two types of interference.The null subcarriers estimation methods include optimal separate estimation and joint estimation.The separate estimation firstly estimates the CFO value and then estimates the impulse noise value.However,the CFO and impulse noise always affect each other when either of them is estimated separately.The performance could be improved by using the joint estimation.The results of simulations and experiments have showed that these two optimization methods have good performance and the joint estimation has better performance than the separate estimation method.There is 3 dB performance gain at the BER value of 10^（-2）when using the joint estimation method.Thus these methods could improve the system robustness by using the CFO compensation and impulse noise suppression.展开更多
基金the Fundamental Research Funds for the Central Universities of China，the Natural Science Foundation of Fujian Province of China
文摘In order to gain a better performance and reduce the computational complexity of the filter design in the underwater acoustic single carrier system, a new Iterative Block DFE (IBDFE) is proposed, which operates iteratively on blocks of the received signal, and fully implements its filtering operations by Discrete Fourier Transforms (DFTs). Two design methods are considered for IBDFE: one is HD-IBDFE, and the other is SD-IBDFE. In this paper, the first one is adopted. In this scheme, hard detected data are used as input of the feedback, and filters are designed according to the correlation between detected and transmitted data. In the simulations and experiments, the method of the HD-IBDFE is introduced, and for comparison, the performance of H-DFE is shown, as well as that of ZF, MMSE and Matched-Filter-Bound (MFB). From the results of the simulations on a Rayleigh fading channel, it is easily found that on average, the HD-IBDFE outperforms H-DFE. When the number of iteration is 4, HD-IBDFE outperforms ZF, MMSE and H-DFE by about 11dB, 5dB and 0.7dB respectively at BER=10-4. As for MFB, the HD-IBDFE still has a degradation of 1.6 dB. In addition, the experimental results in both experiment pool and shallow water also verify the achievement. The simulation and experiment results indicate that the IBDFE outperforms other equalization schemes. What's more, it exhibits a reduction of the computational complexity.
基金supported by the Reasearch Fund for the Visiting Scholar Program by the China Scholarship Council(2011631504)The U.S.Science Foundation(CNS-1205665)+1 种基金the Fundamental Research Funds for the Central Universities(201112G020,201212G012)the National Natural Science Foundation of China(41176032)
文摘The carrier frequency offset（CFO）and impulse noise always affect the performance of underwater acoustic communication_systems.The CFO and impulse noise could be estimated by using the null subcarriers to cancel the effects of the two types of interference.The null subcarriers estimation methods include optimal separate estimation and joint estimation.The separate estimation firstly estimates the CFO value and then estimates the impulse noise value.However,the CFO and impulse noise always affect each other when either of them is estimated separately.The performance could be improved by using the joint estimation.The results of simulations and experiments have showed that these two optimization methods have good performance and the joint estimation has better performance than the separate estimation method.There is 3 dB performance gain at the BER value of 10^（-2）when using the joint estimation method.Thus these methods could improve the system robustness by using the CFO compensation and impulse noise suppression.
