Hopfield Neural Network based Multiuser Detector for Multirate DS-CDMA Systems using Receive Antenna Diversity and Normalization Method 


Vol. 27,  No. 11, pp. 997-1003, Nov.  2002


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  Abstract

In this paper, we present a Hopfield neural network based multiuser detector for multi-rate DS-CDMA system in selective fading environments. We use normalization method and two receive antenna diversity to eliminate time-varying factor of fading to obtain better performance in fading channel. In order to cancel not only MAl but also IPI of multirate channels, three delayed Rake receiver outputs of 4 chip length are used as inputs of the proposed MUD. When the delayed 4chip length symbols are elements of same bit and have same polarity, we combine these inputs and sum up the corresponding correlation coefficients so as to increase the detection capability of the proposed multiuser detector, and by doing so we can avoid the performance degmdation resulting from detection based on minimum spreading gain of multi-rate channels. We assume that shon scrambling codes of 256 chip length are used an uplink, suggest a simple correlation estimation algorithm and circuit complexity reduction method by using cyclostationarity property of short scrambling code. The performance of proposed multiuser detector is compared with that of the parallel interference eancellation(PIC). It is veri fed that multiuser detector using Hopfield neural network more efficiently cancels multiple access interference(MAI) and IPI and obtains better bit error rate and near-far resistant than PIC.

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  Cite this article

[IEEE Style]

B. Jang, J. Jeon, H. Kim, J. Kim, I. Hwang, "Hopfield Neural Network based Multiuser Detector for Multirate DS-CDMA Systems using Receive Antenna Diversity and Normalization Method," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 11, pp. 997-1003, 2002. DOI: .

[ACM Style]

Byung-kwan Jang, Jae-choon Jeon, Hong-youl Kim, Jong-min Kim, and In-kwan Hwang. 2002. Hopfield Neural Network based Multiuser Detector for Multirate DS-CDMA Systems using Receive Antenna Diversity and Normalization Method. The Journal of Korean Institute of Communications and Information Sciences, 27, 11, (2002), 997-1003. DOI: .

[KICS Style]

Byung-kwan Jang, Jae-choon Jeon, Hong-youl Kim, Jong-min Kim, In-kwan Hwang, "Hopfield Neural Network based Multiuser Detector for Multirate DS-CDMA Systems using Receive Antenna Diversity and Normalization Method," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 11, pp. 997-1003, 11. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880