逆向思维是决策中常用的一种思维方法,但目前的反馈外延决策方法(Decision-making of Feedback Extension,DFE)均未考虑这一点。为此,在因素空间理论基础上,从对立概念角度出发构造了一种概念的外延逼近即反馈外延外包络,在此基础上提...逆向思维是决策中常用的一种思维方法,但目前的反馈外延决策方法(Decision-making of Feedback Extension,DFE)均未考虑这一点。为此,在因素空间理论基础上,从对立概念角度出发构造了一种概念的外延逼近即反馈外延外包络,在此基础上提出了基于反馈外延外包络的DFE决策方法。通过土壤肥力评级的实例验证了该方法的有效性和可行性。展开更多
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
文摘逆向思维是决策中常用的一种思维方法,但目前的反馈外延决策方法(Decision-making of Feedback Extension,DFE)均未考虑这一点。为此,在因素空间理论基础上,从对立概念角度出发构造了一种概念的外延逼近即反馈外延外包络,在此基础上提出了基于反馈外延外包络的DFE决策方法。通过土壤肥力评级的实例验证了该方法的有效性和可行性。
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.
