摘要： 在分析具有量子行为的粒子群优化(PSO)算法和正交小波变换理论的基础上，提出基于量子粒子群优化(QPSO)的正交小波分数间隔常模盲均衡算法。通过对分数间隔均衡器输入信号进行正交小波变换，降低信号的自相关性。利用QPSO算法全局搜索能力强、收敛速度快和鲁棒性高的特性，对均衡器权向量进行优化。仿真结果表明，该算法能降低稳态误差，加快收敛速度，提高水声信道中信号的无失真传输性能。
关键词:
量子粒子群优化算法,
正交小波变换,
分数间隔,
盲均衡,
水声信道
Abstract: This paper proposes an orthogonal wavelet transform fractionally spaced constant modulus blind equalization algorithm based on the optimization of Quantum Particle Swarm Optimization(QPSO). It analyzes of the futures of the quantum-behaved particle swarm optimization algorithm and orthogonal wavelet transform. The algorithm can reduce the autocorrelation of the input signals, and the equalizer weight vector can be optimized by QPSO algorithm with the characteristics of high searching ability, rapid convergence and high robustness. Simulation result shows that this algorithm can reduce steady mean square error, improve convergence rate and no distortion transmission performance of signal in underwater acoustic channels.
Key words:
Quantum Particle Swarm Optimization(QPSO) algorithm,
orthogonal wavelet transform\ fractionally spaced,
blind equalization,
underwater acoustic channel
中图分类号:
胡苓苓, 郭业才. 基于QPSO的小波分数间隔盲均衡算法[J]. 计算机工程, 2011, 37(24): 195-197.
HU Lian-Lian, GUO Ye-Cai. Wavelet Fractionally Spaced Blind Equalization Algorithm[J]. Computer Engineering, 2011, 37(24): 195-197.