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用多元信号检测改进广义高斯噪声下的并行非线性检测器
引用本文:王友国,刘洪伟.用多元信号检测改进广义高斯噪声下的并行非线性检测器[J].应用科学学报,2010,28(3):261-265.
作者姓名:王友国  刘洪伟
作者单位:南京邮电大学理学院,南京210046
基金项目:江苏省高校自然科学基金,江苏省"青蓝工程"项目 
摘    要:在广义高斯噪声下,根据最大后验概率准则比较了多元信号的并行非线性检测和最佳并行线性检测. 在高斯噪声条件下,并行非线性检测器性能接近于最佳并行线性检测器. 若噪声是广义高斯的,特别是当噪声幅度集中于均值零附近时,并行非线性检测器的检测性能优于最佳并行线性检测器.

关 键 词:多元信号检测  广义高斯噪声  线性检测器  非线性检测器  
收稿时间:2009-11-11
修稿时间:2010-01-13

Using Nonlinear Detector to Improve Detection of Multiple Signals in Generalized Gaussian Noise
WANG You-guo,LIU Hong-wei.Using Nonlinear Detector to Improve Detection of Multiple Signals in Generalized Gaussian Noise[J].Journal of Applied Sciences,2010,28(3):261-265.
Authors:WANG You-guo  LIU Hong-wei
Affiliation:College of Science, Nanjing University of Posts and Telecommunications, Nanjing 210046, China
Abstract:Based on the maximum a posteriori probability criterion, performance of a parallel nonlinear detector is compared with that of the optimal parallel linear detector for detection of multiple signals in generalized Gaussian noise. Performance of the parallel nonlinear detector is close to that of the optimal parallel linear detector in Gaussian noise. For generalized Gaussian noise, however, the parallel nonlinear detector has better performance, especially when the noise values are concentrated around zero.
Keywords:detection of multiple signals  generalized Gaussian noise  linear detector  nonlinear detector  
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