TY - JFULL AU - Heroe Wijanto and Sugihartono and Suhartono Tjondronegoro and Kuspriyanto PY - 2009/11/ TI - The Performance Improvement of Automatic Modulation Recognition Using Simple Feature Manipulation, Analysis of the HOS, and Voted Decision T2 - International Journal of Electronics and Communication Engineering SP - 1846 EP - 1851 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/2854 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 34, 2009 N2 - The use of High Order Statistics (HOS) analysis is expected to provide so many candidates of features that can be selected for pattern recognition. More candidates of the feature can be extracted using simple manipulation through a specific mathematical function prior to the HOS analysis. Feature extraction method using HOS analysis combined with Difference to the Nth-Power manipulation has been examined in application for Automatic Modulation Recognition (AMR) to perform scheme recognition of three digital modulation signal, i.e. QPSK-16QAM-64QAM in the AWGN transmission channel. The simulation results is reported when the analysis of HOS up to order-12 and the manipulation of Difference to the Nth-Power up to N = 4. The obtained accuracy rate of AMR using the method of Simple Decision obtained 90% in SNR > 10 dB in its classifier, while using the method of Voted Decision is 96% in SNR > 2 dB. ER -