Optimized Iterative Clipping and Filtering for PAPR Reduction of OFDM Signals (original) (raw)
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Abstract
Iterative clipping and filtering (ICF) is a widely used technique to reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However, the ICF technique, when implemented with a fixed rectangular window in the frequency-domain, requires many iterations to approach specified PAPR threshold in the complementary cumulative distribution function (CCDF). In this paper, we develop an optimized ICF method which determines an optimal frequency response filter for each ICF iteration using convex optimization techniques. The design of optimal filter is to minimize signal distortion such that the OFDM symbol's PAPR is below a specified value. Simulation results show that our proposed method can achieve a sharp drop of CCDF curve and reduce PAPR to an acceptable level after only 1 or 2 iterations, whereas the classical ICF method would require 8 to 16 iterations to achieve a similar PAPR reduction. Moreover, the clipped OFDM symbols obtained by our optimized ICF method have less distortion and lower out-of-band radiation than the existing method.
Publication:
IEEE Transactions on Communications
Pub Date:
2011
DOI:
10.1109/TCOMM.2010.102910.090040
Bibcode:
Keywords:
- Orthogonal frequency division multiplexing;
- peak-to-average power ratio;
- iterative clipping and filtering;
- convex optimization;
- Optimisation techniques;
- Interpolation and function approximation (numerical analysis);
- General circuit analysis and synthesis methods;
- Other analogue circuits;
- Modulation and coding methods;
- Filtering methods in signal processing