Performance analysis of narrowband interference rejection based on decision feedback filter in DSSS systems

Ai Hua Wang; Chun Ting Wang; Cai Jie Xia

Performance analysis of narrowband interference rejection based on decision feedback filter in DSSS systems

Ai Hua Wang^*, Chun Ting Wang, Cai Jie Xia

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to journal › Article › peer-review

Abstract

The performance of direct sequence spread spectrum (DSSS) communication systems in the presence of narrowband interference is studied when decision feedback filters are employed for estimating and suppressing the interference. Simple upper bounds of signal to noise ratio (SNR) improvement factor are derived for the suppression of a narrowband first-order autoregressive process and analytical conclusions corroborated by numerical examples. To obtain the same performance, the orders needed from decision feedback filters proposed are much lower than linear prediction filters, making hardware implementation more tractable. Both analysis results and numerical results by Monte Carlo simulation showed that decision feedback filters (DFF) outperform linear prediction filters by comparison.

Original language	English
Pages (from-to)	248-251
Number of pages	4
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	28
Issue number	3
Publication status	Published - Mar 2008

Keywords

Bit error rate
Decision feedback filter (DFF)
Narrowband interference (NBI)
Signal to noise (SNR) improvement factor

Cite this

Wang, A. H., Wang, C. T., & Xia, C. J. (2008). Performance analysis of narrowband interference rejection based on decision feedback filter in DSSS systems. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 28(3), 248-251.

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N2 - The performance of direct sequence spread spectrum (DSSS) communication systems in the presence of narrowband interference is studied when decision feedback filters are employed for estimating and suppressing the interference. Simple upper bounds of signal to noise ratio (SNR) improvement factor are derived for the suppression of a narrowband first-order autoregressive process and analytical conclusions corroborated by numerical examples. To obtain the same performance, the orders needed from decision feedback filters proposed are much lower than linear prediction filters, making hardware implementation more tractable. Both analysis results and numerical results by Monte Carlo simulation showed that decision feedback filters (DFF) outperform linear prediction filters by comparison.

AB - The performance of direct sequence spread spectrum (DSSS) communication systems in the presence of narrowband interference is studied when decision feedback filters are employed for estimating and suppressing the interference. Simple upper bounds of signal to noise ratio (SNR) improvement factor are derived for the suppression of a narrowband first-order autoregressive process and analytical conclusions corroborated by numerical examples. To obtain the same performance, the orders needed from decision feedback filters proposed are much lower than linear prediction filters, making hardware implementation more tractable. Both analysis results and numerical results by Monte Carlo simulation showed that decision feedback filters (DFF) outperform linear prediction filters by comparison.

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KW - Signal to noise (SNR) improvement factor

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Performance analysis of narrowband interference rejection based on decision feedback filter in DSSS systems

Abstract

Keywords

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