针对高动态场景下多普勒频移问题和缺少定量分析,该文以研究正交调制的多普勒频移响应机理为基点,对多普勒频移对正交调制系统的影响进行了研究,从星座图判决区间的角度推导了多进制数字相位调制信号和多进制正交幅度调制信号在多普勒...针对高动态场景下多普勒频移问题和缺少定量分析,该文以研究正交调制的多普勒频移响应机理为基点,对多普勒频移对正交调制系统的影响进行了研究,从星座图判决区间的角度推导了多进制数字相位调制信号和多进制正交幅度调制信号在多普勒频移下的误符号率公式。理论分析和实验结果表明:多普勒频移对正交调制的影响是星座的旋转,误符号率公式推导结果与实际误符号率基本相同,系统的性能随着调制指数和运动速度的增加而下降。在信噪比为20 d B时,多进制数字相位调制信号的抗多普勒频移能力要强于多进制正交幅度调制信号。展开更多
针对非协作通信中的短时突发信号调制方式识别问题,提出了一种基于小波变换的信号相位差统计识别方法,实现了对二相相移键控(BPSK)、四相相移键控(QPSK)、八相相移键控(8PSK)这3种多进制相移键控(MPSK)信号的识别。该方法首先需要估计...针对非协作通信中的短时突发信号调制方式识别问题,提出了一种基于小波变换的信号相位差统计识别方法,实现了对二相相移键控(BPSK)、四相相移键控(QPSK)、八相相移键控(8PSK)这3种多进制相移键控(MPSK)信号的识别。该方法首先需要估计信号符号速率;然后对希尔比特变换后的待识别信号进行小波变换,提取信号瞬时相位信息并计算其相邻码元相位差序列;最后对相位差信息进行直方图统计,并通过改进的二值削波谱峰搜索算法对其进行峰值搜索,再通过峰值判断输入信号的类型。试验结果表明,在码元数目为150、信噪比大于1 d B时,3种信号调制方式的识别率平均可达96%以上。该算法计算量小,易于工程实现,具有良好的抗频偏性。改进的峰值搜索算法也适用于解决其他各种基于波峰搜索的问题。展开更多
In this letter, the problem of blind source separation of Multiple-Phase-Shift-Keying (MPSK) digital signal is considered. The geometry of received MPSK signals constellation is exploited. The column vectors of receiv...In this letter, the problem of blind source separation of Multiple-Phase-Shift-Keying (MPSK) digital signal is considered. The geometry of received MPSK signals constellation is exploited. The column vectors of received signals can be regarded as the points of hyper-cube. All the possible distinct vectors of received signals are found by clustering, and mixing matrix and sources are estimated by searching out the pairing vectors and eliminating redundant information in all possible distinct vectors. Simulation results give the polar diagram of estimated original signals. They show that the proposed algorithm is effective when the original signals is Quadrature-Phase-Shift-Keying (QPSK) or 8-Phase-Shift-Keying (8PSK).展开更多
文摘针对高动态场景下多普勒频移问题和缺少定量分析,该文以研究正交调制的多普勒频移响应机理为基点,对多普勒频移对正交调制系统的影响进行了研究,从星座图判决区间的角度推导了多进制数字相位调制信号和多进制正交幅度调制信号在多普勒频移下的误符号率公式。理论分析和实验结果表明:多普勒频移对正交调制的影响是星座的旋转,误符号率公式推导结果与实际误符号率基本相同,系统的性能随着调制指数和运动速度的增加而下降。在信噪比为20 d B时,多进制数字相位调制信号的抗多普勒频移能力要强于多进制正交幅度调制信号。
文摘针对非协作通信中的短时突发信号调制方式识别问题,提出了一种基于小波变换的信号相位差统计识别方法,实现了对二相相移键控(BPSK)、四相相移键控(QPSK)、八相相移键控(8PSK)这3种多进制相移键控(MPSK)信号的识别。该方法首先需要估计信号符号速率;然后对希尔比特变换后的待识别信号进行小波变换,提取信号瞬时相位信息并计算其相邻码元相位差序列;最后对相位差信息进行直方图统计,并通过改进的二值削波谱峰搜索算法对其进行峰值搜索,再通过峰值判断输入信号的类型。试验结果表明,在码元数目为150、信噪比大于1 d B时,3种信号调制方式的识别率平均可达96%以上。该算法计算量小,易于工程实现,具有良好的抗频偏性。改进的峰值搜索算法也适用于解决其他各种基于波峰搜索的问题。
基金Supported by the National Natural Science Foundation of China (No. 60872114, 60972056, 61132004)Shanghai Leading Academic Discipline Project and STCSM (S30108 and 08DZ2231100)
文摘In this letter, the problem of blind source separation of Multiple-Phase-Shift-Keying (MPSK) digital signal is considered. The geometry of received MPSK signals constellation is exploited. The column vectors of received signals can be regarded as the points of hyper-cube. All the possible distinct vectors of received signals are found by clustering, and mixing matrix and sources are estimated by searching out the pairing vectors and eliminating redundant information in all possible distinct vectors. Simulation results give the polar diagram of estimated original signals. They show that the proposed algorithm is effective when the original signals is Quadrature-Phase-Shift-Keying (QPSK) or 8-Phase-Shift-Keying (8PSK).
