| 摘要: |
| 针对多带超宽带(UWB)系统中修正Kalman滤波算法复杂度高的缺陷，提出一种低复杂度的修正Kalman滤波改进方法。该方法中UWB信道采用自回归模型(AR)建模，利用导频跟踪时变信道衰减因子，通过Kalman滤波和频域分段最小均方误差(MMSE)算法同时跟踪信道的时域相关性和频域相关性，提高了系统性能，降低了计算复杂度。仿真结果表明，和修正的Kalman滤波方法相比，在估计精度损失很小的情况下，所提方法极大降低了计算复杂度，提高了系统整体的估计性能。 |
| 关键词: 多带UWB 信道估计 Kalman滤波 AR模型 导频 计算复杂度 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（61101167）；航空科学基金项目（20110142002）；河南省科技攻关计划项目(112102210431)；河南科技大学博士科研启动基金资助项目(09001409)；河南科技大学青年科学基金资助项目(2010QN0019) |
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| An improved channel estimation method based on modified Kalman filtering for MB UWB systems |
| ZHANG Shi-jie,WANG Dan |
| () |
| Abstract: |
| For the defect that the modified Kalman filter has high computational complexity in multiband ultra-wideband(MB UWB) system,a low complexity modified Kalman filter channel estimation method is proposed. UWB channel is modeled as an autoregressive(AR) process and pilot is adopted to track the time-varying channel fading factors.The system performance is improved and the computational complexity is reduced by using Kalman filter and frequency-domain block minimum mean-square error(MMSE) algorithm to track time domain and frequency domain correlation. The simulation results show that,compared with the modified Kalman filter method,the proposed method can reduce the computational complexity greatly in condition of low loss estimated accuracy. |
| Key words: MB UWB channel estimation Kalman filter AR model computational complexity |
《电讯技术》编辑部 