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Adaptive median threshold algorithm used in FDIS of DSSS receivers
Authors:Weijun Yang  Chaojie Zhang      Xiaojun Jin    Zhonghe Jin    Tieshan Yuan
Institution:1. Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; 2. Micro-Satellite Research Center, Zhejiang University, Hangzhou 310027, China
Abstract:For direct sequence spread spectrum (DSSS) receivers, the capability of rejecting narrow-band interference can be significantly improved by a process of frequency-domain interference suppression (FDIS). The key issue of this process is how to determine a threshold to eliminate interference in the frequency domain, which has been extensively studied. However, these previous methods are tedious or very complex. A simple and efficient algorithm based on medians is proposed. The elimination threshold is only related to the median by a scale factor, which can be obtained by the numerical analysis. Simulation results show that the algorithm provides excellent narrow-band interference suppression while only slightly degrading the signal-to-noise ratio (SNR). A one-pass algorithm using logarithmic segmentation is further derived to estimate medians with low computational complexity. Finally, the FDIS is implemented in a field programmable gate array (FPGA) of Xilinx. Experiments are carried out by connecting the FDIS FPGA to a DSSS receiver, and the results show that the receiver has an effective countermeasure for a 60 dB interference-to-signal ratio (ISR).
Keywords:direct sequence spread spectrum (DSSS)  discrete Fourier transform (DFT)  frequency-domain interference suppression (FDIS)  adaptive median threshold  one-pass approximate medians
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