| Paper: | SPCOM-P11.9 | ||
| Session: | CDMA and Spread-Spectrum Systems | ||
| Time: | Friday, May 21, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing for Communications: Detection, Estimation, and Demodulation | ||
| Title: | APPLICATION OF AUTO-REGRESSIVE SPECTRUM ESTIMATION TO JOINT CDMA CODE DETECTION AND INTERFERENCE CANCELLATION | ||
| Authors: | Seema Sud; ITT Industries | ||
| Abstract: | The CDMA forward link consists of multiple users' signalstransmitted synchronously by a base station. In current CDMAsystems, the mobile user has knowledge only of its own spreadingcode; therefore, blind interference suppression (IS) algorithmsare required to cancel the multiple access interference (MAI). In this paper, an algorithm using auto-regressive spectrum estimation (ARSE) methods is introduced to allow the mobile to determine all of the codes that the base station is transmitting. The technique is based on computing an orthogonal code spectrum, analogous to the traditional Fourier spectrum, by correlating each code with the received signal. This technique allows a simple, single stage, joint interference cancellation (JIC) algorithm to be applied to remove the effects of the other users. It is shown that this technique can improve forward link performance by up to $2$ dB over interference suppression (IS) techniques such as minimum mean square error (MMSE) with the added advantage of lower sample support requirements which allows fast computation and adaptivity to a changing environment. Application of the technique to asynchronous data is also discussed. | ||
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