Sidelobe power and PAPR reduction for CR systems with NC-OFDM

Miin-Jong Hao, Lu Chen
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Abstract

The non-continuous orthogonal frequency division multiplexing OFDM (NC-OFDM) based cognitive radio (CR) system has many advantages but also suffers from the problems of high peak-to-average power ratio (PAPR) and large sidelobe power of the transmission signals. In this paper, a novel method is proposed for jointly reducing sidelobe power of signals in licensed user bands (LU) and PAPR for the CR system with the NC-OFDM scheme. A method to construct a precoding matrix for reducing PAPR values by choosing a proper shaping pulse is developed first. A replacement procedure through the singular value decomposition (SVD) is executed to modify the precoding matrix for further achieving the minimum bit error rate (BER) performance. Second, two pseudo random sequence assignment algorithms, the Random Circular Sequence (RCS) and Quadratic Permutation Polynomials (QPP) algorithms, are proposed in the Multiple Choice Sequences (MCS) scheme for suppressing sidelobe power of signals in LU bands. Both algorithms have low complexities in computation and are easy to perform with only requiring a small amount of side information. Simulation results show that, by combining the optimum precoding matrix with the MCS procedure, decreasing the PAPR values and sidelobe power of signals in LU bands can be achieved simultaneously. Without introducing signal distortion, the proposed algorithms have better effects in sidelobe power suppression than the phase approach, and almost the same performance as the random assignment method.
NC-OFDM CR系统的旁瓣功率和PAPR降低
基于非连续正交频分复用OFDM (NC-OFDM)的认知无线电(CR)系统具有许多优点,但也存在传输信号峰均功率比高、旁瓣功率大的问题。本文提出了一种利用NC-OFDM方案联合降低许可用户带(LU)和PAPR信号旁瓣功率的新方法。首先提出了一种通过选择合适的整形脉冲来构造减小PAPR值的预编码矩阵的方法。通过奇异值分解(SVD)的替换过程对预编码矩阵进行修改,进一步实现最小误码率(BER)性能。其次,在多选择序列(Multiple Choice Sequences, MCS)方案中,提出了随机循环序列(RCS)和二次置换多项式(QPP)两种伪随机序列分配算法,用于抑制LU波段信号的旁瓣功率。这两种算法的计算复杂度都较低,且只需要少量的侧信息,易于执行。仿真结果表明,将最优预编码矩阵与MCS方法相结合,可以同时降低低频带信号的PAPR值和旁瓣功率。在不引入信号失真的情况下,该算法的旁瓣功率抑制效果优于相位法,性能与随机分配法基本一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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