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基于卡尔曼滤波压缩感知的超宽带信道估计

Keywords: 超宽带,信道估计,压缩感知,卡尔曼滤波

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Abstract:

针对超宽带通信系统采样速率过高的难题,利用超宽带信道冲击响应的稀疏性,提出了一种基于卡尔曼滤波压缩感知的时变信道估计算法.通过将直接序列调制的超宽带发送信号进行下采样,建立压缩感知的数学模型,接收端通过卡尔曼滤波压缩感知的重构算法对信道的冲击响应进行重构.仿真结果表明,对于时变的超宽带信道采用卡尔曼滤波压缩感知算法,不仅可以有效降低采样点数,而且提高了信道估计的准确性.

References

[1]  Candès E, Romberg J, Tao T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transaction Information Theory, 2006,52(2):489-509.
[2]  Paredes J, Arce G R, Wang Z. Ultra-wideband compressed sensing: channel estimation[J]. IEEE Journal of Selected Topics Signal Processing, 2007, 1(3) : 383- 395.
[3]  Namrata V. Kalman filtered compressed sensing[C]∥Proceedings of IEEE International Conference on Image Processing. San Diego, USA:[s.n.], 2008:893-896.
[4]  张先玉,刘郁林,王开.超宽带通信压缩感知信道估计与信号检测方法[J].西安交通大学学报,2010,44(2):88-91. Zhang Xianyu, Liu Yulin, Wang Kai. Ultra wide-band channel estimation and signal detection through compressed sensing[J]. Journal of Xi’an Jiaotong University, 2010,44(2):88-91. (in Chinese)
[5]  Wang Fei, Lü Tiejun. An improved Kalman filter algorithm for UWB channel estimation[C]∥Proceedings of International Conference on Communications and Networking. Hangzhou, China: [s.n.], 2008:50-54.
[6]  Zhang Peng, Hu Zhen, Qiu R C, et al. A compressed sensing based ultra-wideband communication system [C]∥ Proceedings of IEEE International Conference on Communications. Dresden, Germany: [s.n.], 2009:1-5.
[7]  Yang L, Giannakis G B. Ultra-wideband communica-tions: an idea whose time has come[J]. IEEE Signal Process Magazine, 2004,21(6):26-54.

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