Title :
Software-Defined Radio Equipped With Rapid Modulation Recognition
Author :
Xu, Jefferson L. ; Su, Wei ; Zhou, MengChu
Author_Institution :
New Jersey Inst. of Technol., Newark, NJ, USA
fDate :
5/1/2010 12:00:00 AM
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.
Keywords :
3G mobile communication; 4G mobile communication; adaptive modulation; computational complexity; software radio; statistical analysis; 3G communications; 4G communications; adaptive modulation capability; automatic modulation recognition; computational complexity; discrete likelihood-ratio test; fast processing speed; fourth-generation wireless communications; rapid modulation recognition; rapid-estimation approach; software-defined radio; third-generation wireless communications; uninterrupted data demodulation; Adaptive modulation; cognitive radio (CR); maximum-likelihood ratio test; modulation classification; modulation recognition; parameter estimation; software-defined radio (SDR);
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2010.2041805
