A Modulation Classification Analysis for BPSK and QPSK Using Joint Moments with Linear Transform(HISC2006)

スポンサーリンク

概要

• 論文の詳細を見る

• In the adaptive modulation systems,a receiver identifies the modulation employed at the transmitter. In this paper, a new modulation classification method based on joint moments and then linear transform is proposed. In the method, the amplitude and phase of the received signal are transformed linearly, and joint moments are measured from the amplitude and phase. The moments depend on the linear transform, and the classification performance improves by some transforms. The joint moments are derived in an infinite series of elementary functions. Using the moments, the classification error probability for BPSK and QPSK is analyzed to discuss the effective linear transform.

• 社団法人電子情報通信学会の論文
• 2006-05-18

著者

• Ata Shingo

  Department Of Information And Communication Engineering Osaka City University

• OKA Ikuo

  Department of Physical Electronics and Informatics, Osaka City University

• Shimbo Daisuke

  Department Of Information And Communication Engineering Osaka City University

関連論文

• Effective Bit Selection Methods for Improving Performance of Packet Classifications on IP Routers(Switching for Communications)
• Modulation Classification Error Analysis with Phase Offset
• A New TCAM Architecture for Managing ACL in Routers
• A Modulation Classification Analysis for BPSK and QPSK Using Joint Moments with Linear Transform(HISC2006)
• Intraparenchymal Meningioma in a Child : Case Report

スポンサーリンク