Parameter Estimation Of LFM Signal Based On Radon-WDL Transform And Its Application

In modern electronic warfare,the linear frequency modulation(LFM)signal obtains high precision in range and velocity in the target detection of radar because of the large bandwidth and large time-bandwidth.Therefore,it is significantly important to achieve the parameter estimation of LFM signal effectively and accurately for the high accuracy requirements of the target detection.However,the traditional parameter estimation algorithm with the poor accuracy already cannot meet the high accuracy requirements of the target detection in modern radar.In this paper,we consider the Radon-WDL transform with more effective and high accurate capability in the parameter estimation for the LFM signal.Here,the WDL is the WVD associated with the Linear canonical transform.Besides,in order to improve the anti-jamming performance in the target detection of radar,the Radon-WDL transform is also applied to estimate the parameter of the C&I jamming and SMSP jamming generated based on the LFM signal.In this paper,we focus on the problem of the parameter estimation about the LFM signal,the multi-components LFM signal,C&I jamming and SMSP jamming,the main contents are described briefly bellow:1.Firstly,the Radon-WDL transform is proposed to improve the parameter estimation accuracy of the finite length LFM signal.The Radon-WDL transform is the WDL algorithm associated with the Radon transform.Specially,the Radon-WVD transform is the important theoretical basis of the Radon-WDL.Therefore,the theoretical basis and steps of the implementation of the Radon-WDL algorithm is studied on basis of the Radon-WVD transform.Finally,the numerical simulations show that it exhibits more effective and higher precision in comparison with the Radon-WVD transform.2.Account of the multi-component LFM signal,the CLEAN-RWLT transform is adopted to suppress the cross-term interference and dive up the precision of parameter estimation.The CLEAN-RWLT transform is the combination of the “CLEAN” thoughts and the Radon-WDL transform.The Radon-WDL transform not only can suppress the cross-term but also can improve the accuracy of parameter estimation.At the same time,the “CLEAN” thoughts is introduced to avoid the cover effect for the effectiveness parameter estimation of the dim signal component.Finally,the Ment Carlo simulations verify the effectiveness and high resolution of the CLEAN-RWLT transform.3.We consider the Radon-WDL transform to suppress the cross-term and increase the precision of parameters estimation for the C&I jamming and SMSP jamming simultaneously.Similarity,the Radon-WDL transform is effectively in suppressing the cross-term and obtaining the high resolution in the parameter estimation of the C&I jamming and SMSP jamming.Compared with the Radon-WVD transform,the Radon-WDL transform presents the superior performance in the effectiveness and the high precision through the simulations.