Abstract
Automatic modulation recognition (AMR)-based software-defined radio (SDR) is a research challenge in developing third-generation (3G) and fourth-generation (4G) wireless communications with adaptive modulation capability. However, the existing AMR technology does not satisfy the seamless demodulation requirement of the SDR. A novel design of the AMR method with reduced computational complexity and fast processing speed is needed. This paper describes a discrete likelihood-ratio test (DLRT)-based rapid-estimation approach to identifying the modulation schemes blindly for uninterrupted data demodulation in real time. The statistical performance of the fast AMR associated with its implementation using the SDR is presented.
| Original language | English (US) |
|---|---|
| Article number | 5404400 |
| Pages (from-to) | 1659-1667 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 59 |
| Issue number | 4 |
| DOIs | |
| State | Published - May 2010 |
All Science Journal Classification (ASJC) codes
- Automotive Engineering
- Aerospace Engineering
- Electrical and Electronic Engineering
- Applied Mathematics
Keywords
- Adaptive modulation
- Cognitive radio (CR)
- Maximum-likelihood ratio test
- Modulation classification
- Modulation recognition
- Parameter estimation
- Software-defined radio (SDR)