Design of piecewise linear polyphase sequences with good correlation properties

Design of piecewise linear polyphase sequences with good correlation properties. Soltanalian, M., Stoica, P., Naghsh, M. M., & De Maio, A. In 2014 22nd European Signal Processing Conference (EUSIPCO), pages 1297-1301, Sep., 2014.

Paper abstract bibtex

In this paper, we devise a computational approach for designing polyphase sequences with two key properties; (i) a phase argument which is piecewise linear, and (ii) an impulse-like autocorrelation. The proposed approach relies on fast Fourier transform (FFT) operations and thus can be used efficiently to design sequences with a large length or alphabet size. Moreover, using the suggested method, one can construct many new such polyphase sequences which were not known and/or could not be constructed by the previous formulations in the literature. Several numerical examples are provided to show the performance of the proposed design framework in different scenarios.

@InProceedings{6952459,
  author = {M. Soltanalian and P. Stoica and M. M. Naghsh and A. {De Maio}},
  booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
  title = {Design of piecewise linear polyphase sequences with good correlation properties},
  year = {2014},
  pages = {1297-1301},
  abstract = {In this paper, we devise a computational approach for designing polyphase sequences with two key properties; (i) a phase argument which is piecewise linear, and (ii) an impulse-like autocorrelation. The proposed approach relies on fast Fourier transform (FFT) operations and thus can be used efficiently to design sequences with a large length or alphabet size. Moreover, using the suggested method, one can construct many new such polyphase sequences which were not known and/or could not be constructed by the previous formulations in the literature. Several numerical examples are provided to show the performance of the proposed design framework in different scenarios.},
  keywords = {codes;fast Fourier transforms;piecewise linear techniques;radar;piecewise linear polyphase sequences;good correlation properties;impulse-like autocorrelation;fast Fourier transform;waveform design;radar codes;peak-to-average power ration;Correlation;Vectors;Optimization;Peak to average power ratio;Radar;Educational institutions;Indexes;Autocorrelation;peak-to-average-power ratio (PAR);polyphase sequences;radar codes;waveform design},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569924097.pdf},
}

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