摘要
在密集高阶幅相调制信号环境下,解调过程中相邻信号的频谱干扰,使得解调信号聚合度较差,此时传统的基于理想解调的特征提取算法识别性能快速下降。针对这一问题,提出一种基于高阶幅相盲接收机解调信号星座轨迹图的调制识别算法。所提算法基于高阶幅相盲接收机对信号进行解调,根据解调星座图的幅值曲率分布和轨迹信息来构造星座轨迹特征进行识别。理论分析和仿真实验表明,这种基于星座轨迹图调制识别方法比传统的基于星座图幅相信息的识别算法性能更好,特别是在密集信号非理想解调环境下,在信噪比为9 dB时信号识别率均到90%以上。
In the dense high-order amplitude phase modulation signal environment,the spectrum interference of adjacent signals in the demodulation process makes the demodulation signal aggregation degree poor,and the recognition performance of the traditional feature extraction algorithm based on ideal demodulation decreases rapidly.To solve this problem,a modulation recognition algorithm based on high order amplitude and phase blind receiver demodulation signal constellation trajectory is proposed.The proposed algorithm demodulates the signal based on the high-order amplitude and phase blind receiver,and constructs the constellation trajectory features for recognition according to the amplitude curvature distribution and trajectory information of the demodulation constellation.Theoretical analysis and simulation results show that the performance of the proposed method based on constellation trajectory map is better than the traditional ones based on constellation amplitude and phase information.Especially in the non-ideal demodulation environment of dense signals,the signal recognition rate is more than 90% when SNR is 9 dB.
作者
王希琳
沈雷
赵永宽
张铭宏
WANG Xilin;SHEN Lei;ZHAO Yongkuan;ZHANG Minghong(School of Communication Engineering,Hangzhou Dianzi University,Hangzhou Zhejiang 310018,China)
出处
《杭州电子科技大学学报（自然科学版）》
2021年第2期27-33,共7页
Journal of Hangzhou Dianzi University：Natural Sciences
关键词
密集环境
星座图轨迹
盲数字接收机
调制识别
dense environment
constellation trace
blind digital receiver
modulation recognition
