| 李金明,赵俊渭,郭业才,张银兵.一种拖尾噪声环境中的稳健常数模盲均衡新算法[J].,2010,29(1):17-22 |
| 一种拖尾噪声环境中的稳健常数模盲均衡新算法 |
| A novel robust constant modulus blind equalization algorithm in heavy-tailed noise environment |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
| DOI：10.11684/j.issn.1000-310X.2010.01.003 |
| 中文关键词: 拖尾噪声 盲均衡 稳健 常数模 |
| 英文关键词: Heavy-tailed noise Blind equalization Robust Constant modulus |
| 基金项目:全国博士学位论文作者专项基金(200753);国家自然科学基金(60372086)资助项目 |
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