Title :
On the benefits of deliberately introduced baseband nonlinearities in communication systems
Author :
Qian, Hua ; Raich, Raviv ; Zhou, G. Tong
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
In this paper, we propose a baseband nonlinear transformation technique to improve the overall communication system performance, under the peak power constraint. A closed-form expression is derived for the signal-to-noise-and-distortion ratio (SNDR) of certain nonlinear transformations. A strategy for SNR-adaptive optimum clipping is proposed. For orthogonal frequency division multiplexing (OFDM), we show that the optimal clipping ratio leads to an SNDR improvement of 5-7 dB and accompanying decrease in symbol-error-rate. By applying an iterative symbol detection and clipping noise mitigation algorithm at the receiver, we demonstrate that clipping in OFDM can lead to large performance gains.
Keywords :
OFDM modulation; adaptive signal processing; iterative methods; limiters; nonlinear distortion; nonlinear network analysis; OFDM; SNDR improvement; SNR-adaptive optimum clipping ratio; baseband nonlinear transformation technique; communication system baseband nonlinearities; iterative symbol detection; orthogonal frequency division multiplexing; peak power constraint; receiver clipping noise mitigation algorithm; signal-to-noise-and-distortion ratio; symbol-error-rate reduction; Baseband; Closed-form solution; Iterative algorithms; Nonlinear distortion; OFDM; Peak to average power ratio; Performance gain; Power amplifiers; Power engineering and energy; Power engineering computing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326405