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Performance Analysis of Adaptive Clipping Technique for Reduction of PAPR in Alamouti Coded MIMO-OFDM Systems

机译:自适应削波技术在Alamouti编码MIMO-OFDM系统中降低PAPR的性能分析

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Like single-input single-output orthogonal frequency division multiplexing (SISO-OFDM), multi-input multi-output (MIMO) OFDM systems also suffer from the problem of high peak to average power ratio (PAPR). To account for this issue, amplitude clipping is one of the simplest techniques employed to reduce PAPR. However, it leads to additional distortion. In this paper, adaptive clipping technique is proposed to reduce PAPR of Alamouti coded MIMO-OFDM systems. In this scheme, successive peaks are clipped according to an adaptive algorithm. Simulation results reveal that the proposed clipping technique provides effective reduction in PAPR and better bit error rate (BER) performance. BER performance and PAPR reduction capability of the proposed algorithm in MIMO-OFDM systems are also compared with SISO-OFDM systems. Power spectral density (PSD) for conventionally clipped, adaptively clipped, and normal SISO-OFDM systems is analyzed and plotted. It can be revealed from the PSD plot that the spectral spreading due to the proposed scheme is less than the conventional clipping scheme.
机译:像单输入单输出正交频分复用(SISO-OFDM)一样,多输入多输出(MIMO)OFDM系统也存在高峰均功率比(PAPR)的问题。为了解决这个问题,幅度削波是降低PAPR的最简单技术之一。但是,这会导致其他失真。本文提出了一种自适应削波技术来降低Alamouti编码MIMO-OFDM系统的PAPR。在该方案中,根据自适应算法对连续的峰进行裁剪。仿真结果表明,提出的削波技术可有效降低PAPR,并提供更好的误码率(BER)性能。还将所提算法在MIMO-OFDM系统中的BER性能和PAPR降低能力与SISO-OFDM系统进行了比较。分析并绘制了常规限幅,自适应限幅和普通SISO-OFDM系统的功率谱密度(PSD)。从PSD图可以看出,由于所提出的方案而引起的频谱扩展小于常规的限幅方案。

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