CCSK信号的扩频序列估计

提出了一种新的基于拟自相关矩阵的循环码移键控(CCSK)扩频序列估计算法.扩频序列估计被表示成拟自相关矩阵的0范数最小化问题,也等价于一个0范数意义下秩-1逼近.一种非迭代的算法用于求解该优化问题,它利用整个拟自相关矩阵纠正由于噪声造成的错误元素,得到数据符号的估计之后将对应的数据符号波形进行循环移位以便使其具有相同的...

Spreading Sequence Estimation of CCSK Signals

A novel spreading sequence estimation based on autocorrelation-like matrix for (CCSK) signals is proposed. The estimation problem is represented as the minimization of norm 0 for the autocorrelation-like matrix, which is also equivalent to the one of rank-1 approximation in the sense of norm 0. A non-iterative algorithm is proposed for the optimization problem, which exploits whole autocorrelation-like matrix to correct wrong elements of the matrix by noise. Based on the estimated symbol bits, the received symbol waveforms are circle-shifted so that they have the same phase, and then these circle-shifted symbol waveforms are averaged to obtain the estimation of the spreading sequence. Simulations results show proposed method has significant performance improvement than traditional method, and it is effective especially under low signal-noise-rate (SNR) scenarios.