Title :
Clipping noise mitigation for OFDM by decision-aided reconstruction
Author :
Kim, Dukhyun ; Stüber, Gordon L.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Clipping is often used to reduce the large peak-to-mean envelope power ratio of orthogonal frequency-division multiplexing (OFDM) signals. However, it introduces additional noise that degrades the system performance. A technique called decision-aided reconstruction (DAR) is proposed for mitigating the clipping noise. The performance of the proposed technique is evaluated for additive white Gaussian noise and static intersymbol interference channels. The effect of using a realistic channel estimate is also examined. Results show that the DAR technique can mitigate the clipping noise significantly for OFDM systems that have large block sizes.
Keywords :
AWGN channels; OFDM modulation; interference suppression; signal reconstruction; AWGN; ISI; OFDM signals; additive white Gaussian noise channel; channel estimate; clipping noise mitigation; decision-aided reconstruction; large block sizes; orthogonal frequency-division multiplexing; peak-to-mean envelope power ratio reduction; static intersymbol interference channel; system performance; AWGN; Additive white noise; Frequency division multiplexing; Gaussian noise; Intersymbol interference; Noise generators; Noise level; Noise reduction; OFDM; Sampling methods;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.740112