期刊
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)
卷 -, 期 -, 页码 8248-8252出版社
IEEE
DOI: 10.1109/ICASSP39728.2021.9414537
关键词
OFDM; joint radar-communications; intercarrier interference; APES; CFO estimation
类别
资金
- Vinnova grant [2018-01929]
- Marie Sklodowska-Curie Individual Fellowships (H2020-MSCA-IF-2019) Grant [888913]
- Marie Curie Actions (MSCA) [888913] Funding Source: Marie Curie Actions (MSCA)
The proposed algorithm optimizes the three-stage delay-Doppler-angle estimation of MIMO-OFDM radar, achieving target estimation in high-mobility scenarios through multi-stage processing.
We propose a novel three-stage delay-Doppler-angle estimation algorithm for a MIMO-OFDM radar in the presence of inter-carrier interference (ICI). First, leveraging the observation that spatial covariance matrix is independent of target delays and Dopplers, we perform angle estimation via the MUSIC algorithm. For each estimated angle, we next formulate the radar delay-Doppler estimation as a joint carrier frequency offset (CFO) and channel estimation problem via an APES (amplitude and phase estimation) spatial filtering approach by transforming the delay-Doppler parameterized radar channel into an unstructured form. In the final stage, delay and Doppler of each target can be recovered from target-specific channel estimates over time and frequency. Simulation results illustrate the superior performance of the proposed algorithm in high-mobility scenarios.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据