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arXiv 1402.1759cs.ITmath.IT
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利用不同窗迭代信号限幅技术降低PAPR对OFDM系统性能的改善

Performance Improvement of OFDM System Using Iterative Signal Clipping With Various Window Techniques for PAPR Reduction

Smita Jolania, Sandeep Toshniwal

摘要:

OFDM信号表现出被称为峰均功率比(PAPR)的高波动OFDM系统的问题是时域信号中经常出现峰值,从而降低了发射端大功率放大器的效率。本文讨论了一种易于实现的削波滤波技术,它通过削波最大功率信号的峰值来降低峰均比。该技术削波OFDM系统的峰值,从而降低了发射端大功率放大器的效率。本文首先给出了一种基于带外辐射的带外滤波器的设计方法,将信号的峰均比(PAPR)降低到一个预定的阈值,并利用滤波器消除带外辐射,然后分析了不同滤波器对PAPR的影响,重点研究了采用迭代限幅滤波方法降低PAPR的方法。分析了不同调制技术的符号出错率性能,每个限幅噪声样本乘以窗函数(如Hanning,Kaiser或Hamming)以抑制带外噪声,表明限幅和不同的滤波技术可以改善SER性能,进一步降低PAPR。

英文摘要:

OFDM signals demonstrates high fluctuations termed as Peak to Average Power Ratio (PAPR).The problem of OFDM is the frequent occurrence of high Peaks in the time domain signal which in turn reduces the efficiency of transmit high power amplifier.In this paper we discussed clipping and filtering technique which is easy to implement and reduces the amount of PAPR by clipping the peak of the maximum power signal.This technique clips the OFDM signal to a predefined threshold and uses a filter to eliminate the out-of-band radiation.Moreover, analysis of PAPR is given by varying different filters.The study is focused to reduce PAPR by iterative clipping and filtering method. The symbol error rate performances for different modulation techniques have been countered.Each clipping noise sample is multiplied by a window function(e.g.Hanning,Kaiser, or Hamming) to suppress the out-of-band noise.It is shown that clipping and different filtering techniques for improvement in the SER performance and provides further reduction in PAPR.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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