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超宽带接收机IQ不平衡估计与补偿方法 被引量:2

IQ imbalance estimation and compensation method for ultra-wideband receiver
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摘要 针对多频带正交频分复用超宽带(MB-OFDM UWB)接收机中由于IQ不平衡导致系统性能恶化的问题,提出了一种时频域联合的IQ不平衡参数估计和补偿方法。首先接收机利用前导符号在时域进行IQ不平衡估计完成数据预补偿,然后接收机利用设计的交织导频在频域进行残余IQ不平衡的逐段估计和补偿。仿真结果表明,在频率相关的IQ不平衡情况下,信噪比高于8 d B时,时频域联合的参数估计和补偿方法在接收性能上优于单一时域估计。实验结果表明,该算法可以有效克服超宽带系统中普遍存在的IQ支路不一致性问题,性能提升效果显著。 Aiming to solve the problem of system performance degradation due to the IQ imbalance in multi-band orthogonal frequency division multiplexing ultra wideband(MB-OFDM-UWB) receiver,one kind of approach based on estimating and compensating IQ imbalance parameters is proposed. Firstly,the preamble symbol is utilized to estimate the IQ imbalance in the time domain to complete the pre-compensation. Then,the designed interleaved pilot is adopted to estimate and compensate the residual IQ imbalance by section in the frequency domain. Simulation results show that the proposed method in joint time-frequency domain is better than that in single time domain when the SNR is more than 8 dB in frequency-dependent IQ imbalance situation. Experimental results show that the problem of IQ branch inconsistency existing in UWB systems can be effectively solved,and the performance improvement is remarkable.
作者 徐湛 刘鹏成 任世杰 程亚冰 Xu Zhan;Liu Pengcheng;Ren Shijie;Cheng Yabing(School of Information and Communication Engineering,Beijing Information Science & Technology University,Beijing 100192,China;School of Information and Electronics,Belting Institute of Technology,Beijing 100081,China;Shandong Provincial Key Laboratory of Optical Communication Science and Technology,Institute of Physics Science and Information Engineering,Liaocheng University,Liaocheng 252000,China)
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2018年第6期157-163,共7页 Chinese Journal of Scientific Instrument
基金 国家自然科学基金(61402044,61620106001) 国家高技术研究发展计划(863计划)(2015AA01A706) 北京市科技新星计划(Z161100004916086) 北京市优秀人才资助计划青年拔尖项目(2016000026833ZK08) 北京市属高校高水平教师队伍建设支持计划“青年拔尖人才培养计划”(CIT&TCD201704065)项目资助
关键词 正交频分复用 超宽带 IQ不平衡 时频联合估计 OFDM UWB IQ imbalance joint time-frequency estimation
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