Reasearch On Long-Time Integration And Detection Algorithm For Maneuvering Target Based On Holographic Staring Radar

At present,the radar is in a more complex and harsh combat environment,in addition to deal with the traditional "four threats",the emergence of new combat mode of unmanned clusters also poses a great challenge to the traditional system-based mechanical scanning radar and electronic scanning array radar.Hologram ubiquitous radar adopts low gain and wide emission beam,which is received by simultaneous multibeam formation to achieve target detection and tracking,and has the detection and recognition ability of anti-interception and simultaneous multi-target detection.Because of the low emission gain of hologram ubiquitous radar,it takes longer accumulation time to achieve a certain detection performance.The movement of the cross-distance unit of the mobile target echo and the movement of the cross-Doppler unit will seriously affect the longterm accumulation of gain.The traditional accumulation method for the uniform motion target does not meet the performance requirements.Therefore,this paper studies the longterm accumulation detection algorithm of mobile targets based on hologram ubiquitous radar;the main contents are as follows:(1)The working principle of hologram ubiquitous radar is studied,and its unique pan-probe beam transceiver mode is compared with several other beam transceiver modes of digital array radar,which are analyzed.Then,according to its unique beam transceiver mode,a set of echo signal processing flow of hologram ubiquitous radar is built.The key steps are explained.At the same time,the echo signal model of maneuvering target of hologram ubiquitous radar is deduced.In this paper,the problems of cross-distance unit migration and cross-Doppler unit movement encountered in the long-term accumulation of echo signals and their different effects on the accumulation effect are analyzed by using the model and simulation.(3)Aiming at the detection problem of moving target with uniform acceleration,the echo signal will move across the distance unit and across the Doppler unit in the process of accumulation.Aiming at the scene with high signal-to-noise ratio(SNR)at close range,a KT-IDPT algorithm is proposed,which uses Keystone transform to correct range movement,and then uses IDPT algorithm to estimate the acceleration of target motion and compensate the Doppler movement caused by it.The algorithm has low complexity and can realize the fast detection of single target.Then,aiming at the problem of multi-target detection in long-distance and low SNR scenes,a Radon-KT-LVT algorithm is proposed.The velocity ambiguity factor is obtained quickly by Radon transform,and the good timefrequency focusing performance and cross-term suppression ability of LVT algorithm are used to provide the basis for the accumulation and detection of weak multi-target echoes.(4)Aiming at the detection problem of higher-order moving target,a Dechirp DPWD hybrid accumulation algorithm is proposed.After the appropriate segmentation for a long time,the phase of the echo is compensated by Dechirp method and coherent accumulation is carried out,and then the improved wavelet denoising algorithm is used to further filter the results of coherent accumulation in the segment.Finally,the accumulation results are obtained by using the dynamic programming algorithm for non-coherent accumulation between segments,and the trajectory and parameters of the target can be obtained while the accumulation results of dynamic programming are traced back to the state.Compared with the existing coherent accumulation algorithm and non-coherent accumulation algorithm,this algorithm achieves a better balance between algorithm complexity and detection performance.