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Rapidly-convergent immune-clone-based orthogonal wavelet transform constant modulus blind equalization algorithm

A technology of immune cloning and orthogonal wavelet, which is applied to the shaping network and baseband system components in the transmitter/receiver. It can solve the problems of local convergence and slow convergence, achieve fast convergence and reduce mean square. Error, the effect of speeding up the convergence

Inactive Publication Date: 2011-09-14
NANJING UNIV OF INFORMATION SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of slow convergence speed and local convergence of the traditional constant modulus blind equalization method (CMA), and invent a fast-converging immune cloning orthogonal wavelet blind equalization method (CSA-WT-CMA)

Method used

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  • Rapidly-convergent immune-clone-based orthogonal wavelet transform constant modulus blind equalization algorithm
  • Rapidly-convergent immune-clone-based orthogonal wavelet transform constant modulus blind equalization algorithm
  • Rapidly-convergent immune-clone-based orthogonal wavelet transform constant modulus blind equalization algorithm

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Embodiment 1

[0092] [Example 1] The transmission signal is 8PSK, and the simulation experiment is carried out by using the mixed-phase underwater acoustic channel c=[0.3132 -0.1040 0.8908 0.3134]. The weight length of the equalizer is 16, and the signal-to-noise ratio is 20dB. In the WT-CMA algorithm, the 10th tap is initially set to 1, the rest are 0, and the step size is m WTCMA =0.001; in the CSA-WT-CMA of the present invention, its step size is m CSAWTCMA = 0.005. The input signal of each channel is decomposed by DB4 orthogonal wavelet, the decomposition level is 2 layers, the initial value of power is set to 4, and the forgetting factor b=0.999; 500 times of Monte Carlo simulation results, such as image 3 shown.

[0093] image 3 (a) shows that the CSA-WT-CMA of the present invention is about 6000 steps faster than the WT-CMA in terms of convergence speed. In terms of steady-state error, compared with WT-CMA, it is reduced by nearly 4dB. image 3 (c, d) show that: the output co...

Embodiment 2

[0094] [Example 2] The transmitted signal is 16QAM, and the minimum phase underwater acoustic channel c=[0.9656-0.0906 0.05780.2368] is used for simulation experiments. The weight length of the equalizer is 16, and the signal-to-noise ratio is 20dB. In the WT-CMA algorithm, the 10th tap is initially set to 1, the rest are 0, and the step size is m WTCMA =0.0006; in the CSA-WT-CMA of the present invention, its step size is m CSAWTCMA = 0.00018. The input signal of each channel is decomposed by DB4 orthogonal wavelet, the decomposition level is 2 layers, the initial power value is set to 4, and the forgetting factor b=0.99; 500 times of Monte Carlo simulation results, such as Figure 4 shown.

[0095] Figure 4 (a) shows that the CSA-WT-CMA of the present invention is about 6500 steps faster than the WT-CMA in terms of convergence speed. In terms of steady-state error, compared with WT-CMA, it is reduced by nearly 1.5dB. image 3 (c, d) show that: the output constellation ...

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Abstract

The invention discloses a rapidly-convergent immune-clone-based orthogonal wavelet transform constant modulus blind equalization algorithm, which is characterized by comprising the following steps of: initializing a population; calculating an affinity value; performing clonal selection; implementing a king-crossover method; performing high frequency variation; calculating the affinity value; performing selection; judging whether to perform termination or not; and selecting an optimal weight vector individual. In the invention, an immune clonal selection algorithm is introduced into an orthogonal wavelet transform based constant modulus blind equalization algorithm (WT-CMA), the characteristics of multi-modal function optimization of a clonal selection method are utilized, weight vectors of an equalizer serve as antibodies, and the autocorrelation of signals is reduced by adopting orthogonal wavelet transform. Compared with the WT-CMA, the algorithm provided by the invention is high in the rate of convergence and relatively lower in steady state error.

Description

technical field [0001] The invention relates to a fast-converging blind equalization method of immune cloning orthogonal wavelet transform in an underwater acoustic communication system. Background technique [0002] In the underwater acoustic communication system, the Inter-symbol Interference (ISI) caused by the multipath effect of the channel and the distortion of the limited bandwidth seriously affects the communication quality, and it needs to be eliminated by effective channel equalization technology (see literature [1 ] Han Yingge, Guo Yecai et al. Blind equalization algorithm of orthogonal wavelet transform with momentum term [J]. Journal of System Simulation. 2008, 20(6): pp.1559-1562). Since the blind equalization method does not need to send the training sequence, it greatly improves the bandwidth utilization rate, but its convergence speed is slow and the steady-state error is also large (see literature [2] Guo Yecai, Zhao Junwei. The mixed constant mode of under...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/03
Inventor 郭业才丁锐
Owner NANJING UNIV OF INFORMATION SCI & TECH
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