Orthogonal wavelet blind equalization method based on immune clone particle swarm optimization
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A particle swarm optimization and immune cloning technology, applied in baseband system components, shaping networks in transmitters/receivers, electrical components, etc. big problem
Inactive Publication Date: 2011-07-06
NANJING UNIV OF INFORMATION SCI & TECH
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It is suitable for solving some complex optimization problems such as multi-objective and nonlinear, but with the continuous generation of evolution, the diversity of the population will continue to deteriorate, and it is prone to
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[0084] In order to test the validity of the ICPSWTCMA method of the present invention, a simulation experiment is carried out with the WTCMA method and the PSOWTCMA algorithm as comparison objects.
[0085] [Example 1] Mixed-phase underwater acoustic channel h=[0.3132 -0.1040 0.8908 0.3134]; the transmitted signal is 8PSK, the equalizer weight length is 16, the signal-to-noise ratio is 20dB, the population size is 100, and the clone replication control factor is p s = 2, the optimal crossover probability is 0.2, the mutation probability is 0.1, the maximum evolution algebra is 500, WTCMA adopts the 10th tap, other parameter settings are shown in Table 1. 1000 Monte Cano simulation results, such as figure 2 shown.
[0086] Table 1 Simulation parameter settings
[0087]
[0088] figure 2 (a) shows that: on the convergence speed, ICPSWTCMA of the present invention is about 700 steps faster than PSOWTCMA, and 1600 steps faster than WTCMA. In terms of steady-state error, c...
Embodiment 2
[0089] [Example 2] The minimum phase underwater acoustic channel h=[0.9656-0.0906 0.0578 0.2368], the transmitted signal is a 16QAM signal; the signal-to-noise ratio is 20dB; the weight length of the equalizer is 16; the power initial value is set to 4, the population size is 100, Clonal replication control factor p s = 0.8, the optimal crossover probability is 0.2, the mutation probability is 0.1, the maximum evolution algebra of the algorithm is 500, WTCMA adopts the 8th tap, other parameter settings are shown in Table 2. 300 Monte Cano simulation results, such as image 3 shown.
[0090] Table 2 Simulation parameter settings
[0091]
[0092] image 3 (a) shows that ICPSWTCMA is about 200 steps faster than PSOWTCMA and 1400 steps faster than WTCMA in terms of convergence speed. In terms of steady-state error, ICPSWTCMA reduces nearly 1.5dB compared with PSOWTCMA, and reduces nearly 3.5dB compared with WTCMA. image 3 (b, c, d) show that the output constellation diag...
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Abstract
The invention discloses an orthogonal wavelet blind equalization method based on immune clone particle swarm optimization. The method comprises the steps of: by regarding a particle swarm as an immune system, randomly initializing particles in a search space, namely, initializing the speed and the positions of antibodies, wherein the position vectors of the particles are taken as the weight vectors of an equalizer and the number of the weight vectors is taken as the scale of the particles; randomly generating an initial population, wherein the position vector with a maximal fitness value (that is optimal solution) is used as an antigen, the particles are used as the antibodies, the affinity degree is used for presenting the approaching degree of the antibodies and the antigen, and a fitness degree function of the particle swarm optimization is selected as the affinity degree of the antibodies; carrying out immune clone operation on the antibodies with higher fitness degree through iteration to continuously generate a new-generation antibody population; carrying out the immune clone operation on the selected optimal solution in each iteration; selecting the optimal position vector (that is the generated maximal value of the corresponding fitness degree function) of the particles after the iteration ends; and iterating by taking the position vector as an initialization weight vector of the equalizer.
Description
technical field [0001] The invention relates to an orthogonal wavelet blind equalization method based on immune cloning particle swarm optimization in an underwater acoustic communication system. Background technique [0002] In the underwater communication system, channel fading and multipath transmission will cause serious intersymbol interference (ISI), so it is necessary to use equalization technology to eliminate it at the receiving end to improve the reliability and transmission rate of underwater data transmission. Blind equalization technology that does not require training sequences (see literature [1] Guo Yecai, author. Adaptive blind equalization technology [M]. Hefei University of Technology Press. 2007.), can improve the efficiency of communication systems and is suitable for bandwidth-limited Multipath underwater acoustic channel equalization. Literature [2] [0003] (Han Yingge, Guo Yecai, Li Baokun, Zhou Qiaoxi. Orthogonal wavelet transform blind equalizati...
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