The target is the touchstone for testing weapons and equipment at present. In view of the current situation of the target and the development direction of the target in the future， firstly， according to the rapidly developing weapon systems in the world at present， the development history and current situation of the target in the United States， Russia， Europe， Israel， and other countries were compared and analyzed. Secondly， the targets were classified. According to the achievements of foreign target manufacturers， the design concept of several typical targets and the key role in training were analyzed in depth. This paper discussed the development direction of future targets recognized by the world at present， summarized them into five parts： stealth， versatility， cluster flight， high performance， and intelligence， and put forward development suggestions for key technological breakthroughs at present.

The coherent accumulation of echo signals of high-speed moving targets has always been a research hotspot for domestic and foreign scholars. Aiming at the problem that the time reversing transform， the second-order Keystone transform and LV’s distribution （TRT-SKT-LVD） algorithm loses velocity information in the process of accumulation， a time reversing transform， the first-order Keystone transform and Radon transform （TRT-KTR） algorithm is proposed to achieve velocity separation and phase-coherent accumulation of moving targets. The velocity information of the target is separated by time reversal and the impact of the abrupt point caused by noise is eliminated by low pass filter and linear smoothing method. The first order Keystone transform is used to correct the range migration caused by the target velocity. The Radon transform is used to estimate the fuzzy number of velocity and compensate to realize phase-coherent accumulation. Simulation results show that the algorithm can effectively separate and accumulate the velocity components of the target， and has a low computational cost. Combined with TRT-SKT-LVD， the joint algorithm can accumulate 3D information of target distance， speed and acceleration， and realize multi-target detection.