CAJ | 학술논문

为了改善拖尾噪声环境中盲均衡器的性能,提出了一种稳健常数模盲均衡算法,修改了原常数模算法的误差函数,并进行非线性变换,有效地抑制了拖尾噪声的影响.采用浅海水声信道,在分别叠加高斯噪声与拖尾噪声的情况下,对算法进行了计算机仿真.结果表明:在高斯噪声环境中,新算法具有更快的收敛速度与更低的剩余码间干扰;在拖尾噪声环境中,原算法很不稳定,而新算法则性能稳健,能够稳定地收敛于较低的剩余码间干扰.
위료개선타미조성배경중맹균형기적성능,제출료일충은건상수모맹균형산법,수개료원상수모산법적오차함수,병진행비선성변환,유효지억제료타미조성적영향.채용천해수성신도,재분별첩가고사조성여타미조성적정황하,대산법진행료계산궤방진.결과표명:재고사조성배경중,신산법구유경쾌적수렴속도여경저적잉여마간간우;재타미조성배경중,원산법흔불은정,이신산법칙성능은건,능구은정지수렴우교저적잉여마간간우.
To improve the performance of blind equalizer in heavy-tailed noise environment,a novel robust constant modulus blind equalization algorithm is proposed.The error function of the original constant modulus algorithm is improved and nonlinearly transformed,thus effectively suppressing the affection of the heavy-tailed noise.On considering shallow water acoustic channel,computer simulations are performed under respectively Gaussian and heavy-tailed noise situations.The simulation results demonstrate that the new algorithm achieves faster convergence rate and lower residual inter-symbol interference compared with the original algorithm in the Gaussian noise environment.In heavy-tailed noise environment,the original constant modulus algorithm becomes unstable,while the new algorithm convergences robustly to a low inter-symbol interference.