.png){kind=icon}
.png){kind=icon}
Return
Real-time Modulation Classification Based On Maximum Likelihood
.png){kind=icon}
PRE
AI
DOI：10.1109/LCOMM.2008.081107.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper describes a likelihood test based modulation classification method for identifying the modulation scheme of a software-defined radio (SDR) in real-time without pilot symbols between transmitters and receivers. Unlike the prior art, the paper converts an unknown signal symbol to an address of the look-up table (LUT), loads the pre-calculated values of the test functions for the likelihood ratio test, and produces the estimated modulation scheme in real-time. The statistical performance of the LUT based classifier is studied. Simulation results are presented to confirm the theoretical analysis.
Keywords:
Average likelihood ratio test
modulation classification
software-defined radio
Journal
IF:
4.4
Papers:
1.3W
Citations:
2.2W