Performance analysis of Turbo-Codes in communication channels with impulsive noise  被引量:3

Performance analysis of Turbo-Codes in communication channels with impulsive noise

在线阅读下载全文

作  者:Li Chong Deng Weibo Duan Lingjie 

机构地区:[1]Dept. of Electrical and Information, Harbin Inst. of Technology, Harbin 150001, P. R. China

出  处:《Journal of Systems Engineering and Electronics》2009年第1期27-31,共5页系统工程与电子技术(英文版)

摘  要:Performance of Turbo-Codes in communication channels with impulsive noise is analyzed. First, mathematical model of impulsive noise is presented because it has non-Gaussian nature and is found in many wireless channels due to impulsive phenomena of radio-frequency interference. Then, with linear Log-MAP decoding algorithm for its low complexity, Turbo-Codes are adopted and analyzed in such communication channels. To confirm the performance of the proposed method, simulations on both static and fully interleaved flat Rayleigh fading channels with impulsive noise have been carried out. It is shown that Turbo-Codes have a better performance than the conventional methods (e.g. convolutionally coded system).Performance of Turbo-Codes in communication channels with impulsive noise is analyzed. First, mathematical model of impulsive noise is presented because it has non-Gaussian nature and is found in many wireless channels due to impulsive phenomena of radio-frequency interference. Then, with linear Log-MAP decoding algorithm for its low complexity, Turbo-Codes are adopted and analyzed in such communication channels. To confirm the performance of the proposed method, simulations on both static and fully interleaved flat Rayleigh fading channels with impulsive noise have been carried out. It is shown that Turbo-Codes have a better performance than the conventional methods (e.g. convolutionally coded system).

关 键 词:Turbo-Codes impulsive noise LOG-MAP Gaussian mixture distribution universal nobile telecommu-nications system. 

分 类 号:TN911.22[电子电信—通信与信息系统] TB53[电子电信—信息与通信工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象