摘要
研究了正则正交匹配追踪(Regularized OMP)算法在超宽带系统信道估计中的应用。ROMP算法在应用于稀疏信号恢复时,具备贪婪算法计算速度快和计算复杂度低的特点。超宽带通信(UWB)系统的信道估计需要估计一组最大径的参数,而ROMP具有能够可靠恢复近似稀疏含噪信号的能力,适用于UWB信道估计。通过仿真,对比了ROMP和DS(Danzig Selector)2种压缩感知重构算法在信道估计中的系统误码率性能,综合分析了2种算法的性能。仿真结果表明,CS-ROMP可有效用于脉冲UWB系统的信道估计。
The application of regularized orthogonal match pursuit(Regularized OMP) algorithm in channel estimation of UWB system is studied.When ROMP is applied in sparse signal recovery,it features the high speed and low computation complexity of greedy algorithm.The channel estimation of UWB system is required to estimate a group of parameters of the maximum diameters,and ROMP has the ability to reliably recover noise-contained approximately-sparse signal,which makes it suitable for UWB channel estimation.Through simulation,a comparison is made between ROMP and DS restructuring algorithm in BER performance of channel estimation,the performances of the algorithms are analyzed,and the simulation result indicates that CS-ROMP can be used in channel estimation of pulse UWB system effectively.
出处
《无线电工程》
2011年第5期14-17,共4页
Radio Engineering
基金
国家重大专项(2009ZX03006-009
2010ZX03006-006)资助
关键词
超宽带
压缩感知
信道估计
ROMP
UWB(ultra-wide band)
CS(Compressed Sensing)
channel estimation
ROMP