Signal Modulation and Demodulation for Sharing Detection Results Between Vehicles in FDM MIMO Radar System
- Authors
- Jeong, Taewon; Kim, Junho; Lee, Seongwook
- Issue Date
- Oct-2023
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Amplitude modulation; automotive radar; Frequency division multiplexing; frequency-division multiplexing; MIMO communication; Object detection; Radar; Radar antennas; Radar detection; Time-frequency analysis; vehicle-to-vehicle communications
- Citation
- IEEE Sensors Letters, v.7, no.10, pp 1 - 4
- Pages
- 4
- Journal Title
- IEEE Sensors Letters
- Volume
- 7
- Number
- 10
- Start Page
- 1
- End Page
- 4
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/70048
- DOI
- 10.1109/LSENS.2023.3307086
- ISSN
- 2475-1472
- Abstract
- In the autonomous driving environment, an obstructed view of the road can cause a delayed response time, making it challenging to avoid potential accidents. Thus, the method for detecting the blind spot is required, and the demand for sharing the detection results between vehicles through communication systems is increasing. In this letter, we propose a novel method of sharing the detection results between vehicles in automotive radar systems. We propose to use frequency-division multiplexing to reallocate the frequency band designated for automotive radar systems into two separate bands, one for the target detection and the other for the vehicle-to-vehicle (V2V) communications. In addition, the detection results are encoded by using amplitude modulation in the signals for V2V communications. The proposed method of sharing the detection results between vehicles is verified through several simulation scenarios. Through the simulations, the detection result of the preceding vehicle can be successfully shared to the following vehicle. Moreover, the average error between the actual and shared detection results is lower than 1%. IEEE
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Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
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