高速卫星两级并行CMA-LMS自适应均衡
发布时间：2018-08-04 09:09
【摘要】：为了克服高速宽带卫星传输非线性群时延信道等导致的信号传输码间干扰问题,提出了一种收敛快且稳态误差小的部分并行两级双模结构常模-最小均方(CMA-LMS)级联自适应均衡算法。该算法利用CMA及LMS算法,建立了两极双模盲-非盲混合均衡,并在频域采用了快速傅里叶变换(FFT)的快速部分并行滤波结构,以少量训练字占用微小带宽的代价,实现了高速并行高速宽带卫星传输非线性群时延信道均衡,提高了信号频带利用率,具有较好应用价值。仿真表明了该算法具有接近理想均衡滤波的较好性能。此外,还设计了采用部分并行结构的算法框架,并分析了其复杂度,使其可在资源有限约束下,实现高速可靠卫星非线性信道的频域均衡。
[Abstract]:In order to overcome the inter-symbol interference (ISI) problem caused by the nonlinear group delay channel of high-speed broadband satellite transmission, An adaptive equalization algorithm with fast convergence and small steady-state error is proposed, in which the two-stage constant mode-least mean square (CMA-LMS) cascaded equalization algorithm is presented. The algorithm uses CMA and LMS algorithms to establish the bipolar dual-mode blind-non-blind hybrid equalization. The fast partial parallel filtering structure of FFT (FFT) is adopted in the frequency domain, which takes up the cost of small bandwidth with a small amount of training words. The nonlinear group delay channel equalization of high speed parallel high speed broadband satellite transmission is realized and the signal frequency band efficiency is improved. The simulation results show that the proposed algorithm has a good performance close to the ideal equalization filter. In addition, a partially parallel algorithm framework is designed, and its complexity is analyzed so that it can realize the frequency domain equalization of high speed and reliable satellite nonlinear channels under limited resource constraints.
【作者单位】： 西北工业大学电子信息学院;杭州电子科技大学信息工程学院;
【基金】：浙江省自然科学基金(LZ14F010003) 国家自然科学基金(61471152)资助
【分类号】：TN927.2
[Abstract]:In order to overcome the inter-symbol interference (ISI) problem caused by the nonlinear group delay channel of high-speed broadband satellite transmission, An adaptive equalization algorithm with fast convergence and small steady-state error is proposed, in which the two-stage constant mode-least mean square (CMA-LMS) cascaded equalization algorithm is presented. The algorithm uses CMA and LMS algorithms to establish the bipolar dual-mode blind-non-blind hybrid equalization. The fast partial parallel filtering structure of FFT (FFT) is adopted in the frequency domain, which takes up the cost of small bandwidth with a small amount of training words. The nonlinear group delay channel equalization of high speed parallel high speed broadband satellite transmission is realized and the signal frequency band efficiency is improved. The simulation results show that the proposed algorithm has a good performance close to the ideal equalization filter. In addition, a partially parallel algorithm framework is designed, and its complexity is analyzed so that it can realize the frequency domain equalization of high speed and reliable satellite nonlinear channels under limited resource constraints.
【作者单位】： 西北工业大学电子信息学院;杭州电子科技大学信息工程学院;
【基金】：浙江省自然科学基金(LZ14F010003) 国家自然科学基金(61471152)资助
【分类号】：TN927.2
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【共引文献】
相关期刊论文 前5条
1 高翔;李勇;包建荣;;高速卫星两级并行CMA-LMS自适应均衡[J];西北工业大学学报;2017年03期
2 宋妍;王洪;汪学刚;钟琦;;基于LMS算法的FOD雷达射频泄露对消技术[J];太赫兹科学与电子信息学报;2016年01期
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