改进型并行双非线性模型的ROF 系统非线性建模
An Augmented Parallel Two-nonlinear Model Based Modeling for ROF Systems
  
DOI:
中文关键词:  功放,记忆多项式,非线性,光载无线通信
英文关键词:power amplifier,memory polynomial (MP),nonlinearity,radio-over-fiber
基金项目:国家自然科学基金(61701262 和61561052);中国博士后基金面上项目(2016M591741);河南省科技公关计划项目(182102410062,182102210114);河南省高等学校重点科研项目(17A510018)
作者单位
惠明1,2张萌2张选顺2,3朱晓维1申东娅3 1. 东南大学毫米波国家重点实验室,南京210096
2. 南阳师范学院物理与电子工程学院石油装备智能化河南省工程实验室,南阳473061
3. 云南大学信息学院,昆明650091 
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中文摘要:
      包含光载无线通信(ROF)链路和射频功放的ROF 前传系统存在严重的静态非线性和记忆效应,提出了改进型并行双非线性广义记忆效应模型(APTGMEM),以准确建模ROF 前传系统的强静态非线性和记忆效应。所提出的APTGMEM 包含无记忆和广义记忆效应两个独立部分,其中无记忆部分只考虑高阶静态非线性,广义记忆效应部分只考虑低阶次超前广义非线性。文中采用带宽为20 MHz 的4G LTE(Long Term Evolution 长期演进)信号为测试信号,光模块和峰值输出功率为51dBm 的Doherty 功放被用于模型有效性验证。测试结果表明,APTGMEM 相比广义记忆多项式模型(GMPM),模型系数减少40%,而建模精度相似,同时比并行双非线性两厢模型(PDNTBM)建模精度提高了3. 6 dB,其在建模精度、系数数量和训练复杂度上取得了良好折中。
英文摘要:
      An Augment Parallel Two-nonlinear General Memory Effect Model (APTGMEM) is proposed in this paper for modeling a wideband ROF (radio-over-fiber) Front Haul Systems with strong memory effects and static nonlinearity. The APTGMEM contains two independent parts as non-memory and generalized memory polynomial sub-models. The non-memory part just considers high order static nonlinearity, while the generalized memory polynomial part considers the lower order leading general memory effect. To evaluate the performance of APTGMEM, a 20MHz LTE test signal, an optical module and a Doherty power amplifier with 51dBm output peak power are used in modeling measurement. Compared to the Generalized Memory Polynomial Model (GMPM), APTGMEM reduces the model coefficient by 40%, remaining the similar modeling accuracy, while compared to the Parallel Dual-nonlinear Two-box Model (PDNTBM), APTGMEM leads to 3. 6 dB improvements in normalized mean square error (NMSE). APTGMEM has a good compromise in modeling accuracy, coefficient quantity and training complexity.
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