RF Architectures and Digital Signal Processing Aspects of by Mohamed K. Nezami

By Mohamed K. Nezami

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Com RF Architectures and Digital Signal Processing Aspects of Digital Wireless Transceivers performance of these algorithms is only optimal at high SNRwhere its performance approaches the performance of DA when the signal-to-noise ratio (SNR) is high. Non-Data Aided (NDA) systems: Neither data nor any decision on data is used in this technique [14,15] for obtaining the estimates of synchronization parameters. Instead, it averages over the data to obtain reliable estimates. At low SNR, NDA is the only available preamble-less rapid technique to estimate phase, frequency, and symbol timing.

Oppenheim, Ronald W. Schafer , Discrete-Time Signal Processing, Prentice Hall Signal Processing Series, 1999. 16. Bernard Sklar, Digital Communications: Fundamentals and Applications, 2nd Edition, 1999. 17. Jeff Dekosky, Fred Martin, and Jeff Rollman, "Offset PLL Analysis can cut spurious levels," RF& Microwaves, Nov. 1999. com 41 18. com. 19. com 20. Mohamed K. Nezami, “Performance Assessment of Baseband Algorithms for Direct Conversion Tactical Software Defined Receivers: I/Q Imbalance Correction, Image Rejection, DC Removal, and Channelization,”, IEEE Milcom Conf.

Dr. com RF Architectures and Digital Signal Processing Aspects of Digital Wireless Transceivers The main drawback of the architecture in figure 1-35 is that the system requires the use of high linearity wideband upconversion and linearized power amplifier because all of the N carriers are passing through the same PA. 096Mbps with an oversampling factor of 16. 768MHz ⎝ 2 ⎠ To keep images from aliasing, the output frequency of the DDS used for the NCOM is usually kept at 40% of BW FClock . 4 multicarriers.

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