The invention provides an acurate detection and
separation method for a multi-component LFM
signal. The method comprises the steps of firstly, subjecting a received
signal to FrFT, searching the energy peak and the corresponding fractional
fourier domain of the
signal, and conducting the coarse detection on the components of the signal; secondly, subjecting the signal to DVWL-FB
series expansion, determining a DVWL-FB coefficient minimum value and a DVWL-FB coefficient maximum value to obtain a coefficient interval, and continuously updating the coefficient amplitude characteristics of the interval for signal detection and correction; thirdly, extracting the DVWL-FB coefficients of a finally divided interval for
signal reconstruction, and subjecting a reconstructed signal to IFrFT to obtain an original single-component signal in the time-
frequency domain. The above first step and the above second step are repeated until no significant energy concentration peak occurs. Based on the method, multi-component LFM signals, similar in frequency, can be accurately detected and effectively separated. The method has obvious advantages in the aspects of signal detection accuracy, signal separation accuracy, low signal-to-
noise ratio, robustness and the like.