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Transform domain algorithm improvement
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Application background Simulation under the Gauss channel, the performance is more ideal, and the soft decision is certainly more than a hard decision about 3dB soft decision gain. But the decision in the Rayleigh channel gain is not only soft 1dB,4, Gauss channel, when SNR=10dB, the soft and hard decision BER is about 5*10^ (-5) and 7*10^ (-3).SNR every increase in the reduction of 1dB, the performance change is very obvious. But in this Rayleigh model, although after a first order frequency domain equalization, but BER is much worse than Gauss, when SNR=20dB, soft and hard decision BER are about 3.6*10^ (-4) and 4.7*10^ (-4), and with the increase of the signal to noise ratio is very slow.
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Modern digital signal processing curriculum relate
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Application background Textbook after-school experiment simulation of digital signal processing, including signal correlation function of the code, there is no signal correlation function of the algebraic value, the effect of direct wave and two reflection wave and after equalization effect
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Modern digital signal processing curriculum relate
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Application background obtain high estimation accuracy. This advantage mainly comes from the process of detecting sparse channel structure.After the sparse channel structure, the receiver can estimate the time domain response of the significant taps with less pilot frequency. BecauseThe number of significant taps is much smaller than that of the non significant one, so that the size of the estimated matrix is greatly reduced.Computational complexity is reduced. In the estimation process, the noise is not considered, and the noise is not significant.The sound will not affect the estimation performance of the whole system, so the two step based on the detection of doubly selective sparse channelEstimation algorithm to avoid the impact of a large number of noise, improve the accuracy of estimation.9F
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