Efficient Long Periodic Binary Sequence Designs for Automotive Radar

Yutao Chen; Ronghao Lin; Jian Li

ICASSP 2021accepted0 citations

Efficient Long Periodic Binary Sequence Designs for Automotive Radar

Abstract

Periodic binary sequences with good autocorrelation properties are useful for phase-modulated continuous wave (PMCW) automotive radar systems. The optimization problem encountered in the periodic binary sequence designs is NP-hard, and most of the existing algorithms are not suitable for designing long periodic sequences due to their heavy computational burdens. We consider an FFT-based algorithm for the efficient designs of long periodic binary sequences with arbitrary period lengths and ample diversity. Several numerical examples are provided to demonstrate the performance of the proposed algorithm.

BibTeX

@inproceedings{icassp2021_efficientlongper,
  title = {Efficient Long Periodic Binary Sequence Designs for Automotive Radar},
  author = {Yutao Chen and Ronghao Lin and Jian Li},
  booktitle = {ICASSP 2021},
  year = {2021}
}