非线性时频分布重排算法在非合作跳频信号检测中的应用

在简述重排时频分布主要理论的基础上，具体分析了基于平滑伪Wigner-Ville分布的时频重排（rearrangement of the smooth pseudo Wigner-Ville distribution，RSPWVD）算法和基于Morlet小波的尺度图重排（rearrangement of the Morlet scale chart，RMSC）算法识别信号的基本原理，并导出了各自的重排算法表达式。分析结果表明，RMSC算法不仅可以获得比RSPWVD更为理想的抗干扰效果，而且可进一步提高信号时频分布的时频聚集性，从而更加精确地对跳频信号参数进行盲估计。最后给出了计算机仿真结果，并验证了其可行性和有效性。

The Application of the Rearrangement Algorithm of Nonlinear Time-frequency Distribution in the Signal Detection of Non-cooperative Frequency Hopping

The theory about the rearrangement of time-frequency distribution is summarized firstly in the paper,and then the basic principles of detecting the signals using the rearrangement of the smooth pseudo Winger-Ville distribution(RSPWVD)algorithm based on it and the rearrangement of the Morlet scale chart(RMSC)algorithm based on the Morlet wavelet are analyzed in detail,and their algorithm expressions are given at the same time.The analysis results show that the RMSC algorithm not only has more ideal anti-jamming effects,but also can enhance the time-frequency aggregation of the signal,and then the signal parameters are estimated more accurately.In the end,the computer simulation is shown to test the feasibility and effectiveness.