| Paper ID | SS-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 |
| Session | SS-12: Recent Advances in mmWave Radar Sensing for Autonomous Vehicles |
| Location | Gather.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 |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| 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. |
