時頻分布級數(shù)方法的改進(jìn)

】時頻分布級數(shù)法在保持高時頻分辨率的前提下，有效抑制了Wigner分布的交叉項，但運(yùn)算量問題制約了其在工程應(yīng)用中的普及。該文在對時頻原子基函數(shù)進(jìn)行研究的基礎(chǔ)上，利用窗口選擇特性對方法進(jìn)行了改進(jìn)，節(jié)省了大量計算，通過對多分量非平穩(wěn)信號的仿真表明，對TFDS方法的改進(jìn)是有效的，信號處理時間明顯縮短，對聯(lián)合時頻分析的工程應(yīng)用具有一定的參考價值。
關(guān) 鍵 詞 維格納分布; 交叉項; 時頻分布級數(shù)法; 時頻原子

The time-frequency distribution series(TFDS) has been tested effective in the balance of the cross-term suppression and the time-frequency resolution. It is promising in the application of the target recognition. But the computational load is too large to bear with the length of the signal increasing. By getting ride of the redundant computing about the time-frequency atom, we overcome the difficulty. The simulation of the multi-component non-stational signal shows that the improvement of the TFDS method accelerates the computing. It can be consulted under the use of the real-time processing of the time-frequency characteristic of the target echo.