An Improved Re-Sampling Interpolation Algorithm for Base-Band Signal Shaping Filtering

Abstract:

Research on shaping filtering algorithms in wireless communication systems has important practical value. Based on the digital base-band shaping filter, which is widely used in the area of software radio, an improved re-sampling filtering algorithm is proposed in this paper. By the design of truncated raise cosine filter, the continuous sequence of digital spread-spectrum signal can be restored. The piecewise parabola interpolation filter is established to carry out the signal re-sample, and the Farrow implementation structure is adopted to reduce the calculation cost. The algorithm is validated through the experiment using simulated and true signals respectively, which demonstrate that not only the out band power of frequency division multi signals can be effectively suppressed, but also the steadiness of re-sampling signals is improved during the dynamic environment.

• Periodical: Applied Mechanics and Materials (Volumes 195-196)
• Pages: 205-211
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.195-196.205
• Online since: August 2012
• Authors: Wei Qi, Qing Chang, Lv Qian Zhang, Yuan Yu
• Keywords: Adaptive Interpolation Introduction, Farrow, Piecewise Parabola Filter, Re-Sampling, Signal Shaping

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