基于压缩传感的直接序列超宽带码序列估计算法

Estimation Algorithm for Code Sequence in DS-UWB System Based on Compressed Sensing

直接序列超宽带(DS-UWB)通过一组伪随机码调制脉冲信号的极性,具有较强的军事通信隐蔽性。针对军事对抗中直接序列超宽带中的码序列估计问题,为降低数字前端采样率,基于压缩传感理论,提出了一种低于奈奎斯特采样率下的码序列盲估计算法。通过对分段压缩信号进行累积,得到协方差矩阵的估计值,进而对协方差矩阵的特征值分解得到码序列的估计以及符号帧级的同步偏移值估计。理论分析和仿真证明了所提方法的有效性。

Direct sequence ultra wideband （DS-UWB） adopts a set of pseudo-random code to modulate the po- larity of the pulse signal which shows strong concealment for military communication. Aiming at the problem of esti- mation of code sequence for military confrontation, a blind estimation algorithm for code sequence under low sam- pling rate is proposed based on the theory of compressed sensing in order to reduce the front-end. An estimated covariance matrix is computed by accumulation with windowed can be reconstructed and the desynchronization time with the sampling rate of the digital signal. The code sequence symbol frame level can be estimated from the eigenval- ues decomposition. The theoretical analysis and simulation prove the effectiveness of the proposed method.