基于重排S-method的多分量辐射源信号分析方法

Multi-component Emitter Signal Analysis Method Based on Reassigned S-method

为实现多分量辐射源信号的有效检测和识别,提出了基于重排S-method(RSM)的多分量辐射源信号分析方法.针对Wigner-Ville分布交叉项严重和计算复杂度高的问题,采用RSM分析密集、交叠的辐射源信号,给出了其算法的硬件实现和计算复杂度分析.该方法能处理线性和非线性调频信号,算法简单,易于实现.复杂体制多分量辐射源信号分析的实验结果表明,该方法能有效分析多分量辐射源信号,时频分辨率高,不受交叉项干扰,具有比Wigner-Ville分布和S-method更强的噪声抑制能力.

To effectively detect and recognize multi-component emitter signals, a multi-component emitter signal analysis method based on the reassigned S-method （RSM） was proposed. To suppress the serious cross-terms of the Wigner-Ville distribution and cut down its high computational complexity, RSM was adopted to analyze dense and overlapping emitter signals. The hardware implementation and computional complexity analysis of its algorithm were given. The proposed method can process effectively linear and non-linear frequency-modulated signals, and its algorithm is simple and easy to implement. Experimental results on complex multi-component emitter signals show that the proposed method is a good approach to analyze multi-component emitter signals because of the advantages of its high time-frequency resolution, removing cross-terms, and strong noise-suppression ability over the Wigner-Ville distribution and the S-method.