摘要
针对水声通信中多途效应和环境噪声对信号准确传输的严重影响,为取得水声准确信号,提出了一种果蝇优化正交小波自适应软约束常模盲均衡算法,优化水声通信系统中均衡器的性能,确保水下信号传输质量。用正交小波变换降低了信号的自相关性,加快了自适应软约束常模盲均衡算法(SCS-CMA)的收敛速度,减小了稳态误差,并利用果蝇算法的全局快速寻优能力进一步优化了均衡器性能。水声信道仿真结果验证了新算法的良好性能,信号可在复杂水声信道中准确传输。
In order to overcome the serious influence of multi path effect and environmental noise on the signal accurate transmission in underwater communications,an orthogonal wavelet transform adaptive constant modulus blind equalization algorithm based on fruit fly optimization algorithm was proposed.The proposed algorithm was used to optimize the performance of the equalizer in underwater acoustic communication to obtain better signal transmission quality in underwater communications.we made full use of the de-correlation ability of orthogonal wavelet transform to accelerate convergence rate of SCS-CMA and reduce the steady state error and the global fast optimization ability of fruit fly algorithm to optimize performance of equalizer further.Computer simulations in underwater acoustic channels indicate that the proposed algorithm has excellent performance and signal can transfer accurately.
出处
《计算机仿真》
CSCD
北大核心
2013年第8期331-335,371,共6页
Computer Simulation
关键词
水声通信
盲均衡
正交小波变换
果蝇算法
自适应软约束常模算法
Underwater communication
Blind equalization algorithm
Orthogonal wavelet transform
Fruit fly optimization algorithm
Soft constraint satisfaction constant modulus algorithm
