DSP Processor Fundamentals: Architectures and Features
DSP Processor Fundamentals: Architectures and Features
Smart Antennas for Wireless CDMA
Smart Antennas for Wireless CDMA
Implementation of smart antenna base station with a novel searcher and tracker for CDMA 2000 1X
ICCS '02 Proceedings of the The 8th International Conference on Communication Systems - Volume 01
ICCS '02 Proceedings of the The 8th International Conference on Communication Systems - Volume 02
An analytical constant modulus algorithm
IEEE Transactions on Signal Processing
Smart antennas in software radio base stations
IEEE Communications Magazine
A smart software radio: concept development and demonstration
IEEE Journal on Selected Areas in Communications
Software radio architecture with smart antennas: a tutorial on algorithms and complexity
IEEE Journal on Selected Areas in Communications
FPGA Based Implementation and Comparison of Beamformers for CDMA2000
Wireless Personal Communications: An International Journal
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Development of practical algorithms for beamforming in 3G CDMA systems and their software radio implementations are still a challenging task, which will facilitate upgrading of traditional base stations into smart antenna capable 3G base stations. In this paper, we propose a practical space-code correlator (SCC) receiver structure for its software radio implementation a DSP. SCC's advantage comes from the fact that it doesn't require any training sequence or learning parameter as in other algorithms (LMS or CM). DSP implementations of the SCC are performed using Texas Instruments C67xx family platforms. In the simulations, reverse link base band signal format of CDMA2000 is used and the effects of different array topologies (uniform linear array-ULA or uniform circular array-UCA) are considered. The implementation results regarding beamforming accuracy, weight vector computation time (execution time), search resolution effect on DOA estimation accuracy, DSP resource utilization, and received SINR are presented. The results show that DSP based SCC beamformer can estimate weight vectors within less than 10 ms with DOA search resolution of 2° especially when C6713 DSP is used. With faster DSPs and larger search resolutions, execution time could be significantly reduced as well. It provides comparable SINR performance with LMS and CM algorithms.