期刊论文详细信息
Journal of Global Research in Computer Sciences
BROADBAND INTERFERENCE SUPPRESSION USING VOLTERRA FILTERS
article
Sheena Agarwal1  R.C. Jain2  D.B. Ojha3 
[1] M.Tech Student, Electronics & Communication, Jaypee Institute Of Information Technology;Department of Electronics & Communication, Jaypee Institute of Information Technology;Departments of Mathematics, Mewar University
关键词: Broadband Interference;    Non-linear filters;    Adaptive filtering;    Volterra series;    least mean square;    Recursive least square.;   
来源: Research & Reviews
PDF
【 摘 要 】

Radio Frequency (RF) interference is inherent in all wireless systems and is one of the most significant design parameters of cellular and other mobile systems. In this paper, it is shown that how a non-linear adaptive Volterra filter (Polynomial filter where input and output signals are related through Volterra series) helps track the statistics of the input data and dynamics of a direct sequence spread spectrum (DSSS) system. Comparison between LMS (Least Mean Square) and RLS (Recursive Least Square) algorithms, used in filter adaptation process is shown. Results show that adaptive RLS Volterra filter based DSSS receiver is very efficient in suppressing the broadband BPSK interference.

【 授权许可】

Unknown   

【 预 览 】
附件列表
Files Size Format View
RO202307140002568ZK.pdf 194KB PDF download
  文献评价指标  
  下载次数:1次 浏览次数:0次