Abstract:

The wideband cross ambiguity function (WCAF) method is commonly adopted to execute the parameter estimation of wideband noise radar,but the huge computation burden of this method limits its application in practical engineering. A novel method based on the component noise frequency modulation signal is proposed for addressing the problem of parameter estimation of high speed targets. Firstly, the Doppler sensitive is eliminated through conjugate self mixing of the echo signal. Then the short time correlation is taken with the mixed signal and the accurate delay of each segment is obtained by the Gaussian fitting. Finally, the target parameter is acquired through the least squares algorithm. In this method, the component noise frequency modulation signal generated by self mixing has higher delay resolution, and the proposed Gaussian fitting method has higher accuracy than the classical parabola interpolation. In the whole algorithm, the timedomain reconstruction and 2-D searching are not required as the WCAF does, which makes the algorithm complexity decrease greatly and the method suitable for the engineering application. The effectiveness of the proposed method is demonstrated by simulation results.