SLM and Clipping Joint Algorithm for PAPR Reduction in OFDM System
SLM and Clipping Joint Algorithm for PAPR Reduction in OFDM System
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DOI：
10.12733/jics20105134
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Jianping Wang;Jing Yan;Zhen He
中科院分区：
文献类型：
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作者：
Jianping Wang;Jing Yan;Zhen He
选择性映射（SLM）技术是降低正交频分复用（OFDM）系统峰均功率比（PAPR）的有效方法之一，但同时也带来了较大的计算复杂度。与SLM相比，限幅提供了一种更简单的方法来获得更好的PAPR性能，但会导致误码率（BER）性能的下降。本文提出了一种SLM和量化限幅（SLM-QC）联合算法，该算法将传统的SLM技术和一种改进的量化限幅方案相结合。所提出的方案实现了更好地利用各自的技术带来的优势，与PAPR性能和BER性能之间的权衡得到很好的平衡。
As one of the most appealing techniques, selective mapping (SLM) provides an efiective solution for Peakto-average Power Ratio (PAPR) reduction in Orthogonal Frequency Division Multiplexing (OFDM) systems, however, results in large computational complexity simultaneously. As compared to SLM, clipping provides a more simple way towards a better PAPR performance, whereas results in degradation of the Bit Error Rate (BER) performance. In this paper, we proposed a joint algorithm called SLM and Quantization Clipping (SLM-QC) scheme, which combined the conventional SLM technology with a modifled quantization clipping scheme. The proposed scheme achieves a better exploitation of advantages brought about by each technique alone, with the tradeofi between the PAPR performance and the BER performance being well balanced.