无线移动通信系统干扰抑制算法研究

In the modern mobile communication environment, the wireless mobile communication system as code division multiple access(CDMA), orthogonal frequency division multiplexing(OFDM) and OFDM-CDMA system is easily influenced by Multiple Access Interference (MAI), Inter Symbol Interference (ISI), Inter-channel Interference (ICI) and high Peak-to-Average Power Ratio(PAPR), these problem these problems seriously affect the normal operation of wireless communication system .The interference cancellation technology of wireless mobile communication system has become the key research fields in the domestic and international. The research target of this project is to propose new more interference cancellation algorithms with excellent performance as an order to adapt to the needs of complicated mobile communication business. This project aims the problems as convergence insufficiency of Multi-user detection algorithm (MUD) and detection accuracy instability of nonlinear interference cancellation algorithm and aims the problems as high peak to average power ratio lead by signal superposition in CDMA, single inadequate treatment capacity of OFDM and OFDM-CDMA system to put forward the following algorithms as Blind Adaptive Quasi-Newton (BN-Kalman) algorithm, Blind -SOR/JGS- Kalman MUD algorithm and Adaptive Kalman Filter PIC/SIC Cascade algorithm for multipath fading channel, joint synchronization tracking algorithm, new Partial Transmit Sequence(PTS) algorithm based on the rotation factor and new Blind Adaptive Partial Transmit Sequence(PTS) algorithm. And then, research the convergence, stability, complexity and progressive multiple user availability performance of these new interference cancellation algorithms. The research result can provide strong theoretical and technical support to new generation wireless mobile communication technology, and also has great theoretical value and economic benefit in the future of mobile communication industry. So this project has a very important significance.

针对无线移动通信领域CDMA、OFDM及OFDM-CDMA系统，避免多址干扰、码间干扰、子信道间干扰及高峰值平均功率比影响的干扰抑制技术一直是国内外研究的重点领域之一。本项目拟针对现有干扰抑制算法收敛性不足、检测精度不稳定、峰均干扰抑制技术单一处理能力不足及因信号叠加导致高峰均功率比的问题，提出新的盲自适应拟Newton迭代Kalman滤波算法、盲自适应SOR/JGS迭代Kalman滤波算法、盲自适应Kalman滤波串并行干扰消除算法、多径衰落信道下盲自适应Kalman滤波异步串并行级联干扰消除算法、联合同步跟踪算法、基于旋转因子的PTS算法及盲自适应PTS算法。对一系列新的干扰抑制算法，在收敛性、稳态性、复杂度及渐进多用户有效性等性能测度方面进行分析与研究。研究成果将为新一代无线移动通信技术提供理论支持，且具有重大的理论意义及经济效益。

无线移动通信系统干扰抑制是无线通信系统中的关键技术，对提升系统的传输速率及稳定性至关重要。无线移动通信领域CDMA、OFDM及OFDM-CDMA系统中多址干扰、码间干扰、子信道间干扰及高峰值平均功率比（PAPR）的干扰抑制技术一直是国内外重点研究领域之一。.本项目针对现有干扰抑制算法收敛性不足、检测精度不稳定、峰均干扰抑制技术单一处理能力不足及因信号叠加导致高峰均功率比等问题提出了一系列新的干扰抑制多用户检测（MUD）以及PAPR抑制算法。（1）针对最小均方估计（MMSE）算法与Kalman算法在DS-CDMA系统多用户近似估计及时变噪声统计过程中，容易引入判决误差导致算法稳定性下降的问题，提出了改进的MMSE-MUD算法与改进的盲自适应Kalman滤波MUD算法。（2）针对自适应MUD算法处理时变复杂移动通信问题过程中的各种限制因素，提出了自适应最速下降（RLS）算法、盲自适应拟Newton迭代Kalman算法及盲自适应SOR/JGS-Kalman算法。（3）针对串行干扰消除（SIC）算法处理过程中过度重复进行用户排序，导致检测精度低的问题，提出了MMSE-SIC算法，异步连续型Schwarz-SIC算法及盲自适应Kalman-SIC算法。（4）针对并行干扰消除（PIC）算法因检测处理过程需使用相同方法对系统中所有用户进行多次分阶段迭代运算，造成算法复杂度高且收敛慢的问题，提出了异步连续并行Schwarz-PIC算法与盲自适应Kalman-PIC算法。（5）针对串并IC级联结构MUD算法复杂度高且收敛慢的问题，提出了衰落信道下的盲自适应Kalman-IC算法。（6）针对OFDM系统和MIMO-OFDM系统中的PAPR问题，提出了动态星座图扩展-凸集投影（ACE-POCS）联合算法、改进的部分传输序列（PTS）算法、改进盲天线间逐次移位旋转反向（Blind-CASSRI）算法以及一种基于SFBC-OFDM系统的空频域变换（SFT）PAPR抑制算法。.本项目提出的一系列新的干扰抑制算法和峰均比抑制算法，在收敛性、稳态性、复杂度及渐进多用户有效性等性能测度方面均有较大提高或改善，对峰均比抑制概率上也有较大的提升，研究成果将为新一代无线移动通信技术提供理论支持，对学科的发展具有推动作用，具有重大的理论意义及实用价值。