CO-OFDM系统中基于卡尔曼滤波对相位噪声补偿算法的研究

基于卡尔曼滤波提出了两种相干光正交频分复用(CO-OFDM)系统的相位噪声补偿算法,这两种算法在发射端的时域均插入导频,并在接收端对导频进行卡尔曼滤波,最后利用插值算法补全全部子载波的相位噪声.仿真结果表明,基于最小均方误差(MMSE)准则的判决反馈算法在相位噪声比率为10-1时,系统误码率约为10-4,并且出现了错误平层,而基于卡尔曼滤波所提出的两种相位噪声算法在大相位噪声的情况下仍然具有较好性能且能有效地降低错误平层,因而所提出的相位噪声补偿算法能改善CO-OFDM系统的性能.     

CO-OFDM系统中一种基于空载波间隔的新相位噪声补偿算法

针对激光器的相位噪声会严重影响相干光正交频分复用(CO-OFDM)系统的性能问题,基于空载波间隔提出了一种适用于CO-OFDM系统的新相位噪声补偿算法,通过空载波来间隔信息子载波,从而有效降低载波间干扰并提高有效信息干扰比.仿真结果表明:与最小平方准则-公共相位误差(LS-CPE)算法相比,该补偿算法能有效地改善系统的误码性能,降低系统对激光器线宽的要求.     

光OFDM系统中一种改进的SLM峰均比抑制方案

针对光正交频分复用(O-OFDM)系统中峰值平均功 率比(PAPR)较高的缺点,对PAPR抑制技术的选择性 映射法(SLM) 进行了深入研究。基于低复杂度SLM方案的深入研究,提出了一种改进的次PAP R选择的思 想与低复杂度SLM相结合的PAPR抑制方案。改 进的SLM方案能够成倍降低传统SLM方案的计算复杂 度。仿真分析表明,改进的SLM方案在载波数为256的O-OFDM系统中,计算复杂度能降低50%以上,并 且随着子载波数的增加,其复杂度降低程度更为高效;同时,该改进的SLM方案又能使其PAPR抑制性能优于传统的SLM方案,从而进一步提升了低复杂度SLM 方案的实用价值。     

A novel TS-EIA-PTS PAPR reduction algorithm for optical OFDM systems

Because the partial transmit sequence (PTS) peak-to-average power ratio (PAPR) reduction technology for optical orthogonal frequency division multiplexing (O-OFDM) systems has higher computational complexity, a novel two-stage enhanced-iterative-algorithm PTS (TS-EIA-PTS) PAPR reduction algorithm with lower computational complexity is proposed in this paper. The simulation results show that the proposed TS-EIA-PTS PAPR reduction algorithm can reduce the computational complexity by 18.47% in the condition of the original signal sequence partitioned into 4 sub-blocks at the remaining stage of n?d=5. Furthermore, it has almost the same PAPR reduction performance and the same bit error rate (BER) performance as the EIA-PTS algorithm, and with the increase of the subcarrier number, the computational complexity can be further reduced. As a result, the proposed TS-EIA-PTS PAPR reduction algorithm is more suitable for the practical O-OFDM systems.