基于部分传输序列与压缩感知的正交频分复用系统峰值平均功率比降低算法

doi:10.3969/j.issn.1000-1093.2020.06.011

摘要/Abstract

摘要： 正交频分复用（OFDM）技术广泛应用于无线传输系统，是武器协同数据链的核心技术之一。为了能更好地抑制发送信号的峰值平均功率比(PAPR)而又保证接收端误码率性能，提出一种OFDM中基于改进的部分传输序列与压缩感知技术相结合的混合算法，设计了算法的框架和实现步骤。同时开展发送端削峰处理和接收端恢复操作，最大程度地利用压缩感知技术的恢复框架，增强了PAPR降低幅度。仿真结果显示，该混合算法将部分传输序列与压缩感知技术的优点相结合，PAPR至少降低1dB，取得了较好的PAPR抑制效果。

关键词: 正交频分复用, 峰值平均功率比, 部分传输序列, 压缩感知

Abstract: The orthogonal frequency division multiplexing (OFDM) is widely used in wireless system and becoming a key technology for weapon cooperation data link. A hybrid peak average power ratio (PAPR) reduction algorithm is proposed. It is based on modified partial transmission sequence (PTS) and compressed sensing (CS) in OFDM for further reducing PAPR and improving bit error rate performance. The framework and implementation steps of the algorithm are also proposed, which includes PAPR reduction at transmitter and CS recovery at receiver. Simulated results show that the algorithm combines the advantages of CS and PTS, reducing the peak-average power ratio by at least 1dB, and achieving better PAPR performance. Key

Key words: orthogonalfrequencydivisionmultiplexing, peakaveragepowerratio, partialtransmissionsequence, compressedsensing

中图分类号:

TN925⁺.91

曹渊，崔东华，刘兴辉. 基于部分传输序列与压缩感知的正交频分复用系统峰值平均功率比降低算法[J]. 兵工学报, 2020, 41(6): 1151-1156.

CAO Yuan， CUI Donghua， LIU Xinghui. PAPR Reduction Algorithm Based on PTS and CS in OFDM[J]. Acta Armamentarii, 2020, 41(6): 1151-1156.

参考文献

［1］牛晓珂, 刘赓. OFDM系统降低峰均比的方法研究[J]. 信息通信, 2019, 193(1):64-65.
NIU X K, LIU G. Research on methods of reducing peak-to-average power ratio in OFDM system[J]. Information & Communications, 2019, 193(1): 64-65. (in Chinese)
[2］ KRONGOLD B S，JONES D L.An active-set approach for OFDM PAR reduction via tone reservation[J].IEEE Transactions on Signal Processing, 2004，52（2）：495-509.
[3］ LI H, JIANG T，ZHOU Y.An improved tone reservation scheme with fast convergence for PAPR reduction in OFDM systems[J].IEEE Transactions on Broadcasting, 2011，57（4）：902-906.
[4］解来历, 辜方林, 马东堂, 等. 一种基于预留子载波降峰均比的改进方法[J]. 通信技术, 2017，50(6)：1108-1110.
XIE L L, GU F L, MA D T, et al. An improved method to reduce the peak-to-average power ratio based on tone reservation[J]. Communication Technology, 2017，50(6): 1108-1110. (in Chinese)
[5］ KRONGOLD B S, JONES D L. PAR reduction in OFDM via active constellation extension[J]. IEEE Transactions on Broadcasting, 2003, 49(3):258-268.
[6］ MULLER S H, HUBER J B. OFDM with reduced peak-to-average power ratio by optimum combination of partial transmit sequences[J]. Electronics Letters, 1997, 33(5): 368-369.
[7］高燕, 孙辉. OFDM系统中PTS技术的改进[J]. 中国无线电, 2017(12)：58-60.
GAO Y, SUN H. Improvement of PTS technology in OFDM system[J]. China Radio, 2017(12): 58-60.(in Chinese)
[8］纪金伟, 夏玉杰. 一种降低OFDM系统PAPR的低复杂度盲SLM方法[J]. 无线电工程, 2017，47（5）：27-31.
JI J W, XIA Y J. Alow complexity blind SLM method to reduce PAPR in OFDM systems[J]. Radio Engineering, 2017, 47(5): 27-31. (in Chinese)
[9］ AL-SAFADI E B, AL-NAFFOURI T Y. On reducing the complexity of tone-reservation based PAPR reduction schemes by compressive sensing[C]∥Proceedings of 2009 IEEE Global Telecommunications Conference. Honolulu, HI, US:IEEE，2009：1-6.

[10］ KIM K, PARK H, NO J. Clipping noise cancelation for OFDM systems using reliable observations based on compressed sensing[J].IEEE Transactions on Broadcasting, 2015，61（1）：111-118.
[11］ AL-SAFADI E B, AL-NAFFOURI T Y. Pilotless recovery of clipped OFDM signals by compressive sensing over reliable data carriers[C]∥Proceedings of the 13th International Workshop on Signal Processing Advances in Wireless Communications.Cesme, Turkey：IEEE，2012：580-584.
[12］杨霖, 何向东, 丁长文. OFDM系统中基于限幅和压缩感知的非线性失真补偿算法[J]. 电子学报, 2016, 44(9):2051-2056.
YANG L, HE X D, DING C W. Nonlinear distortion compensation algorithm based on clipping and compressed sensing in OFDM systems[J]. Acta Electronica Sinica, 2016, 44(9): 2051-2056. (in Chinese)
[13］王志鹏, 王星, 田元荣, 等. 基于压缩感知的辐射源信号数据级融合识别方法[J]. 兵工学报, 2017, 38(8):1547-1554.
WANG Z P, WANG X, TIAN Y R, et al. Data-level fusion for emitter signal identification based on compressed sensing[J]. Acta Armamentarii, 2017, 38(8): 1547-1554. (in Chinese)
[14］张永顺, 朱卫纲, 孟祥航, 等. 基于块稀疏贝叶斯学习的跳频通信梳状干扰抑制[J]. 兵工学报, 2018, 39(9):1864-1872.
ZHANG Y S, ZHU W G,MENG X H, et al. Comb jamming mitigation in frequency-hopping spread spectrum communications via block sparse Bayesian learning[J]. Acta Armamentarii, 2018, 39(9):1864-1872.（in Chinese）
[15］ SULTAN K, ALI H, ZHANG Z, et al. Improving PAPR reduction for OFDM using hybrid techniques[C]∥Proceedings of the 2015 IEEE International Conference on Communication Software and Networks. Chengdu, China: IEEE, 2015: 312-316.
[16］ CANDES E J, ROMBERG J K, TAO T. Stable signal recovery from incomplete and inaccurate measurements[J]. Communications on Pure and Applied Mathematics, 2006, 59(8): 1207-1223.
[17］ DONODO D. Compressed sensing[J].IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
[18］ TROPP J A,GILBER A C.Signal recovery from random measurements via orthogonal matching pursuit[J].IEEE Transactions on Information Theory, 2007, 53(12): 4655-4666.

第41卷第6期2020 年6月
兵工学报ACTA ARMAMENTARII
Vol.41No.6Jun.2020

[1]	陈新华，郑恩明，李嶷，杨鹤，周权斌. 复域压缩感知近场声图测量方法[J]. 兵工学报, 2021, 42(8): 1735-1743.
[2]	马云飞，白华军，温亮，郭驰名，贾希胜. 基于Laplace先验和稀疏块相关性的旋转机械振动信号贝叶斯压缩重构[J]. 兵工学报, 2021, 42(12): 2762-2770.
[3]	张仕超，陈冲，任帅，文彬，魏鹏. 正交频分复用系统中改进的串行峰值抵消方法[J]. 兵工学报, 2020, 41(3): 526-533.
[4]	黄惠祥，郭秋涵，童峰. 基于分布式压缩感知的麦克风阵列声源定位[J]. 兵工学报, 2019, 40(8): 1725-1731.
[5]	张永顺，朱卫纲，孟祥航，贾鑫，曾创展，王满喜. 基于块稀疏贝叶斯学习的跳频通信梳状干扰抑制[J]. 兵工学报, 2018, 39(9): 1864-1872.
[6]	王志鹏，王星，田元荣，周一鹏. 基于压缩感知的辐射源信号数据级融合识别方法[J]. 兵工学报, 2017, 38(8): 1547-1554.
[7]	朱甦，薄煜明，何亮. 基于冗余字典的多特征压缩感知目标跟踪算法[J]. 兵工学报, 2017, 38(6): 1140-1146.
[8]	赵志欣, 朱斯航, 洪升, 周新华, 王玉皞. 基于数字调幅广播外辐射源雷达的弱目标检测[J]. 兵工学报, 2017, 38(11): 2159-2165.
[9]	焦传海，李永成，谢恺，杨运甫. 基于期望偏差和广义似然比检验的非重构宽带压缩盲感知[J]. 兵工学报, 2016, 37(10): 1837-1843.
[10]	王驰，殷敬伟，杜鹏宇，陈阳. 循环后缀在水声时反正交频分复用系统中的应用研究[J]. 兵工学报, 2015, 36(5): 885-890.
[11]	周跃海，曹秀岭，童峰，陈东升. 单输入多输出水声信道的联合稀疏恢复估计[J]. 兵工学报, 2015, 36(12): 2321-2329.
[12]	马旭卓，方尔正. 单矢量差分幅度相移键控正交频分复用水声通信研究[J]. 兵工学报, 2014, 35(4): 489-494.
[13]	王巍, 乔钢, 王玥, 邢思宇, 刘凇佐. 多输入多输出正交频分复用浅海水声通信打孔判决反馈信道估计算法[J]. 兵工学报, 2013, 34(9): 1116-1124.
[14]	殷敬伟, 王驰, 白夜, 生雪莉. 基于差分正交频分复用的水下语音通信应用研究[J]. 兵工学报, 2013, 34(5): 591-597.
[15]	王彪, 李超, 戴跃伟. 基于空域压缩采样的水声目标DOA估计方法[J]. 兵工学报, 2013, 34(11): 1479-1483.