Performance Comparison of Sphere Decoding and Global Search Algorithm based Multiuser Detectors for MC-CDMA system under Clipping Noise | Zendy

S. Sivanesskumar | Zendy; Dr.R. Sukanesh | Zendy

Open Access

Performance Comparison of Sphere Decoding and Global Search Algorithm based Multiuser Detectors for MC-CDMA system under Clipping Noise

Author(s) -

S. Sivanesskumar,

Dr.R. Sukanesh

Publication year - 2010

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/722-1015

Subject(s) - computer science , decoding methods , clipping (morphology) , detector , algorithm , code division multiple access , noise (video) , w cdma , speech recognition , real time computing , telecommunications , artificial intelligence , linguistics , philosophy , image (mathematics)

Multi Carrier Code Division Multiple Access (MC-CDMA), a promising technology for the 4G communication systems is considered in this paper. The foremost limitation of such system is the Multiple Access Interference (MAI) which is due to frequency-selective fading, near-far effect, frequency offset, and nonlinear power amplification due to clipping noise. The performance of MC-CDMA under such scenario is poor and optimal detection is one of the solutions with a high complexity is required. In this paper the Bit Error Rate (BER) performance is compared under clipping noise with sphere decoding and Global search algorithm based Multiuser detectors.

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