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Fractionally spaced decision feedback Rayleigh Renyi entropy wavelet blind equalization method

A fractional interval, decision feedback technology, applied in baseband system components, shaping networks in transmitters/receivers, etc., can solve problems such as poor stability, slow convergence speed, and large amount of calculation.

Inactive Publication Date: 2014-07-16
NANJING UNIV OF INFORMATION SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the shortcomings of the prior art Fractional Interval Decision Feedback Blind Equalization (FSDFE) method, which has a large amount of calculation, slow convergence speed and poor stability, and has invented a blind equalization method based on fractional interval decision feedback Rayleigh Renyi entropy wavelet

Method used

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  • Fractionally spaced decision feedback Rayleigh Renyi entropy wavelet blind equalization method
  • Fractionally spaced decision feedback Rayleigh Renyi entropy wavelet blind equalization method
  • Fractionally spaced decision feedback Rayleigh Renyi entropy wavelet blind equalization method

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Embodiment 1

[0106] [Example 1] The transmitted signal is a 4QAM signal, and the simulation experiment is carried out by using the channel c=[0.3132-0.1040 0.89080.3134]. The sub-path weight of FSDFE feedforward filter is 16, the fourth tap is initialized to 1, and the step size is μ 1 =0.00008, the weight length of the feedback filter is 16, initialized with all zeros, and the step size μ 2 =0.00008; FSDFEWT sub-path weight length 16, the fourth tap is initialized to 1, step size μ 3 =0.0001; the FSDFEWTR feedforward filter sub-path weight length of the present invention is 16, the fourth tap is initialized to 1, and the step size is μ 4 =0.015, the weight length of the feedback filter is 16, all zero initialization, step size μ 5 =0.015; the other parameters are the same as above. α=0.2, β 1 =0.08, Ωσ=1.5. 100 Monte Cano simulation results, such as image 3 shown.

[0107] image 3 Show that, for 4QAM signal, the FSDFEWT method is faster than the FSDFE method convergence speed, an...

Embodiment 2

[0108] [Example 2] The transmitted signal is a 16PSK signal, and the simulation experiment is carried out by using channel c=[0.24430.1183-0.0455-0.0905 0.6766 0.6622-0.1163 0.0786]. The sub-path weight of FSDFE feedforward filter is 16, the fourth tap is initialized to 1, the rest are all zero, and the step size is μ 1 =0.0005, the weight length of the feedback filter is 16, initialized with all zeros, and the step size μ 2 =0.0005; FSDFEWT sub-path weight length is 16, the fourth tap is initialized to 1, and the step size is μ 3 =0.0005; the FSDFEWTR feedforward filter sub-path weight length of the present invention is 16, the fourth tap is initialized to 1, and the step size is μ 4 =0.02, the weight length of the feedback filter is 16, initialized with all zeros, and the step size μ 5 =0.015; the other parameters are the same as above. α=0.2, β 1 =0.08, Ωσ=1.5. 200 Monte Carlo simulation results, such as Figure 4 shown.

[0109] Figure 4 Show that, for 16PSK signal...

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Abstract

The invention discloses a fractionally spaced decision feedback Rayleigh Renyi entropy wavelet blind equalization method, which comprises the following steps of: performing T / 4 fractional spacing on the pth sub-channel on a transmitted signal sequence a(k) taking the symbol length T as a period to obtain the pth feedforward filter input sequence y<(p)>(k); performing orthogonal wavelet transform on the feedforward filter input sequence y<(p)>(k) to obtain an output signal R<(p)>(k) of a wavelet transformer; transmitting the wavelet transformed output signal R<(p)>(k) to the pth sub-equalizer to obtain the output signal z<(p)>(k) of the pth sub-equalizer, and adding and combining all output signals to obtain the output signal z(k); adding the output signal z(k) of the equalizers and the output signal zd(k) of a feedback filter to obtain a decider input signal g(k); and causing the decider input signal g(k) to pass through a decider to obtain the estimate hat{a(k)} of the transmitted signal sequence a(k). In the method provided by the invention, a Rayleigh Renyi entropy is directly used for the fractionally spaced decision feedback blind equalizers as a cost function so as to reduce residual errors, and convergence speed is increased by the normalized orthogonal wavelet transform.

Description

technical field [0001] The invention relates to a fractional interval judgment feedback Rayleigh Renyi entropy wavelet blind equalization method in an underwater acoustic communication system. Background technique [0002] In underwater communication systems, inter-symbol interference (ISI) seriously affects the quality of communication, and must be suppressed by blind equalization techniques that do not need to send periodic training sequences. In the blind equalization method, Fractionally spaced decision feedback equalizer (Fractionally spaced decision feedback equalizer, FSDFE) (see literature [1] Guo Yecai, Lin Rengang. Research on decision feedback blind equalization algorithm based on T / 4 fractional interval. Data acquisition and processing. 2008, 23(3): 284-287; Literature [2] Guo Yecai, Zhang Yanping. A Fractional Interval Decorrelation Decision Feedback Blind Equalization Algorithm. Ship Science and Technology, 2009, 31(5), pp.137-140; Literature [3]: Zhang Yinbin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/03
Inventor 郭业才龚秀丽
Owner NANJING UNIV OF INFORMATION SCI & TECH
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