A Practical Space-Code Correlator Receiver for DSP Based Software Radio Implementation in CDMA2000

被引:0
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作者
Kerem Kucuk
Adnan Kavak
Mustafa Karakoc
Halil Yiǧit
Caner Ozdemir
机构
[1] Kocaeli University,Department of Electronic and Computer Education
[2] Kocaeli University,Wireless Communications and Information Systems Research Centre, Department of Computer Engineering
[3] Turkcell Telecommunication Services,Department of Electrical and Electronics Engineering
[4] Mersin University,undefined
来源
关键词
Adaptive arrays; CDMA2000; Digital signal processor (DSP); Direction of arrival (DOA) estimation; Field programmable gate array(FPGA); Smart antenna systems (SAS); Software radio; 3G Systems;
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摘要
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.
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页码:245 / 261
页数:16
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