2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDSS-12.1
Paper Title EFFICIENT LONG PERIODIC BINARY SEQUENCE DESIGNS FOR AUTOMOTIVE RADAR
Authors Yutao Chen, Ronghao Lin, University of Science and Technology of China, China; Jian Li, University of Florida, United States
SessionSS-12: Recent Advances in mmWave Radar Sensing for Autonomous Vehicles
LocationGather.Town
Session Time:Thursday, 10 June, 15:30 - 16:15
Presentation Time:Thursday, 10 June, 15:30 - 16:15
Presentation Poster
Topic Special Sessions: Recent Advances in mmWave Radar Sensing for Autonomous Vehicles
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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.