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Related Concept Videos

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Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Related Experiment Video

Updated: Jul 7, 2026

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Code optimization for direct sequence spread spectrum and SAW-matched filter implementation.

O Hikino1, M A Belkerdid, D C Malocha

  • 1Hitachi Media Electron., Yokohama, Japan.

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|February 2, 2008
PubMed
Summary
This summary is machine-generated.

This study presents a novel algorithm to reduce time sidelobes in pseudonoise (PN) sequences for direct sequence spread spectrum (DS-SS) systems. Optimized sequences demonstrate superior correlation properties compared to existing methods.

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Area of Science:

  • Signal Processing
  • Telecommunications Engineering
  • Applied Mathematics

Background:

  • Pseudonoise (PN) sequences are crucial for Direct Sequence Spread Spectrum (DS-SS) systems.
  • Minimizing time sidelobes in PN sequence correlations is essential for system performance.
  • Existing PN sequences (m-sequences, Gold, Barker) have limitations in sidelobe suppression.

Purpose of the Study:

  • To introduce a new optimization algorithm for minimizing time sidelobes of PN sequence correlation functions.
  • To develop optimized time sidelobe level sequences for DS-SS systems using digital modulations.
  • To evaluate the correlation characteristics of the optimized sequences and their implementation using Surface Acoustic Wave (SAW) devices.

Main Methods:

  • A dynamic weighting algorithm is applied to PN sequences.
  • The algorithm iteratively optimizes sidelobes for identical and alternating data bits.
  • Optimized sequences are implemented using apodized SAW-matched filters.

Main Results:

  • The optimized sequences exhibit excellent correlation characteristics, outperforming conventional PN sequences.
  • SAW-matched filters designed for optimized sequences show good agreement between theoretical predictions and experimental results.
  • The algorithm effectively suppresses time sidelobes for improved DS-SS system performance.

Conclusions:

  • The proposed optimization algorithm offers a significant improvement in time sidelobe reduction for PN sequences.
  • The developed optimized sequences are suitable for various digital modulations in DS-SS applications.
  • SAW device implementation validates the effectiveness of the optimized sequences and the algorithm.