Abstract
High angular resolution is in high demand in automotive radar. To achieve a high azimuth resolution a large aperture antenna array is required. Although MIMO technique can be used to form larger virtual apertures, a large number of transmitter-receiver channels are needed, which is still technologically challenging and costly. To circumvent this problem, we propose a high-resolution Direction of Arrival (DoA) estimation by using multiple small radar sensors distributed on the fascia of the automobile. To exploit the diversity gain due to different target observation angles by different radars, a block Focal Under determined System Solver based approach is proposed to incoherently fuse the data from multiple small MIMO sensors. This method significantly improves the DoA estimation compared to single sensor, decreases probability of false alarm and increases probability of multiple target detection. Its performance is demonstrated through both numerical simulations and experimental results.
| Original language | English |
|---|---|
| Journal | Proceedings of the IEEE Radar Conference |
| DOIs | |
| Publication status | Published - 2022 |
| Externally published | Yes |
| Event | 2022 IEEE Radar Conference, RadarConf 2022 - New York City, United States Duration: 21 Mar 2022 → 25 Mar 2022 |
Keywords
- BOMP
- Block sparsity
- Compressive Sensing (CS)
- DoA estimation
- FOCUSS
- MIMO
- OMP
- ambiguity function
- automotive radar
- distributed radar
- incoherent processing
- single snap-shot