| Paper: | SPTM-P3.2 | ||
| Session: | Time-Frequency Distributions | ||
| Time: | Wednesday, May 19, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Non-stationary Signals & Time-Frequency Analysis | ||
| Title: | CHANNEL MODELING FOR SPREAD SPECTRUM VIA EVOLUTIONARY TRANSFORM | ||
| Authors: | Luis F. Chaparro; University of Pittsburgh | ||
| Abdullah A. Alshehri; University of Pittsburgh | |||
| Abstract: | Given the importance of direct sequence spread spectrum (DSSS) communications, the modelling of its transmission channel is of great interest. Due to multipath and Doppler effects in the transmission channel, the transmitted signal is spreaded in both time and frequency. Transmission channels that spread the transmitted message in time and frequency are modelled as random time-varying systems. It is shown in this paper that the estimation of the parameters of such models is possible by means of the spreading function that is related to the time-varying frequency response of the system and the associated evolutionary kernels. Applying the time-frequency or frequency-frequency discrete evolutionary transforms, we show how to compute the spreading function from the received DSSS signal. The procedure is efficiently implemented with the discrete evolutionary transform. Once the number of paths, delays, Doppler frequencies and gains characterizing the channel are found we use them to obtain an estimate of the pseudo-noise and a decision parameter to determine the bit sent. Our procedure is illustrated with simulations of the process, and the bit-error rate of its application. | ||
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