Improved Signal Processing for Random Time Division MIMO Millimeter-wave Radars
ミリ波レーダにおけるRandom Time Division MIMO 信号処理の改良
- Delivery
- Available on the other site
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- Publication code
- 20264616
- Paper/Info type
- JSAE Transaction
Vol.57 No.5
- Pages
- 961-968(Total 8 p)
- Date of publication
- Sep 2026
- Publisher
- JSAE
- Language
- Japanese
Detailed Information
| Category(J) | 論文 Translation |
|---|---|
| Category(E) | Paper |
| Author(J) | 1) 天野 義久, 2) 井上 秀雄 |
| Author(E) | 1) Yoshihisa Amano, 2) Hideo Inoue |
| Affiliation(J) | 1) 神奈川工科大学, 2) 神奈川工科大学 |
| Abstract(J) | 車載レーダ界では、高分解能と広い速度ダイナミックレンジを両立できる新技術「Random Time Division MIMO」が注目されつつある。この技術の３つの弱点を解決する、上位互換技術を提案する。従来より敢えて高次元化したMatching Pursuit法と、省メモリ化アルゴリズムが特徴。 Translation |
| Abstract(E) | Random Time Division MIM (Random TD-MIMO) is a one of prosperous new technologies, which is suitable for automotive radars. It's gradually becoming well-known as a basic technology for large scale MIMO (Massive MIMO). But essential point is it's capability to extend velocity dynamic range, regardless of whether it is small scale MIMO or Massive MIMO. In automotive radar industry, wider velocity dynamic range is always an important topic, so even for small scale MIMO, it's worth to test Random TD-MIMO. In this paper, first we pointed out three major drawbacks of Random TD-MIMO, Then we propose an improved signal processing to solve these drawbacks. The proposed signal processing consists of higher dimensional Matching Pursuit algorithm, with reduced dimensional dictionary. Simulation results show that the proposed signal processing is an upward compatible technology to conventional one for Random TD-MIMO. |
