Practical Blind Approach for Joint Detection and Parameter Assessment in Direct Sequence Code Division Multiple Access Systems

Abstract

In this paper, the blind code extraction of Direct Sequence Code – Division Multiple Access signals is considered based on independent component analysis (ICA), some propositions are defined in order to estimate the number of active users, to distinguish between correct and incorrect extracted codes, and also to determine the quality of detection along with the ICA-based blind detection procedure. These propositions are used to improve the performance of the ICA blind detection-based method. Principal component analysis and gaussian mixture model are employed as analyzing tools in proposed criteria. Experimental results show that the defined criteria are verified.

Keywords:

• Active user enumeration
• Blind detection
• Code division multiple access
• Gaussian mixture model
• Independent component analysis
• Principal component analysis

Additional information

Notes on contributors

Javad Afshar Jahanshahi

Javad Afshar Jahanshahi received his B.Sc. and M.Sc. Degrees both in Electrical Engineering from the University of the Sistan & Baluchestan and Shahid Beheshti University, in 2006 and 2010, respectively. Now he is a member of Cognitive Telecommunications Research Group, Department of Electrical Engineering, Shahid Beheshti University G.C., at Tehran, Iran. His research interests are in Wireless Cognitive Radio, Wireless Communications, including Compressive Sensing PSD Map Construction, Cognitive Radio Spectrum Sensing. E-mail: [email protected]

Mohammad Eslami

Mohammad Eslami is currently pursuing PhD. program in Communication Engineering in Shahid Beheshti University G.C., at Tehran, Iran. He is a member of Cognitive Telecommunication Research Group, Department of Electrical Engineering, Shahid Beheshti University G.C. His focus is on mathematical image and Video processing, Stereo and Multi view Vision systems. His research interests includes: Mathematical Image & Video Processing, Cognitive Radio & Spectrum Sensing, Stereo & Multi-view Vision. E-mail: [email protected]

Seyed Ali Ghorashi

Seyed Ali Ghorashi received his B.Sc. and M.Sc. degrees in Electrical Enginering from the University of Tehran, Iran, in 1992 and 1995, respectively. Then, he joined SANA Pro Inc., where he worked on modelling and simulation of OFDM based wireless LAN systems and interference cancellation methods in W-CDMA systems. Since 2000, he worked as a research associate at King’s College London on “capacity enhancement methods in multi-layer W-CDMA systems” sponsored by Mobile VCE. In 2003, He received his PhD at King’s College and since then he worked at Kings College as a research fellow. In 2006 he joined Samsung Electronics (UK) Ltd as a senior researcher and now he is a faculty member of Cognitive Telecommunication Research Group, Department of Electrical Engineering, Shahid Beheshti University G.C., at Tehran, Iran, working on wireless communications. E-mail: [email protected]